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	<title>ISA RC47 - Social Classes and Social Movements &#187; Generative AI</title>
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	<link>http://www.isarc47.org</link>
	<description>RC47 is the Research Committee 47 on Social Classes and Social Movements within the International Sociological Association</description>
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		<title>Generative AI: 7 Steps to Enterprise GenAI Growth in 2023</title>
		<link>http://www.isarc47.org/generative-ai-7-steps-to-enterprise-genai-growth/</link>
		<comments>http://www.isarc47.org/generative-ai-7-steps-to-enterprise-genai-growth/#comments</comments>
		<pubDate>Fri, 07 Jul 2023 12:17:13 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

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		<description><![CDATA[Microsoft launches generative AI tools for developers Financial Times Generative AI is an incredibly exciting field that has the potential to revolutionize many industries. Tech startups will play an important role in bringing this technology into the mainstream. Because visual effects are so expensive and time-consuming, Yakov Livshits films with more modest resources struggle to<br /><span class="excerpt_more"><a href="http://www.isarc47.org/generative-ai-7-steps-to-enterprise-genai-growth/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<h1>Microsoft launches generative AI tools for developers Financial Times</h1>
<p>Generative AI is an incredibly exciting field that has the potential to revolutionize many industries. Tech startups will play an important role in bringing this technology into the mainstream. Because visual effects are so expensive and time-consuming, <a href="https://www.wikidata.org/wiki/Q4261115">Yakov Livshits</a> films with more modest resources struggle to implement high-quality visual effects to bring forth their vision. “We are excited to partner with Capgemini to enhance the experience of our passengers who travel through our airport.</p>
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" width="303px" alt="launches generative ai"/></p>
<p>The company is working with the Innovation Center to select generative AI models, define paths to navigate technical or business challenges, develop proofs of concept and scale solutions at scale, according to AWS. To fully benefit from the program, startups should have a minimal viable product (MVP) already developed, some traction with customers, and be working to enhance their product value proposition in order to scale. Although the program is open to all startups, those already building on AWS will receive the most benefit from the accelerator’s dedicated AWS Solutions Architect team, who will support every step of their product development. The program is open to companies around the globe, with no limitations around use case—we want to empower companies applying generative AI to solutions from legal and marketing, to software engineering, green energy, and life sciences, including drug discovery.</p>
<h2>Creative generative AI</h2>
<p>We can see right now how ML is used to enhance old images and old movies by upscaling them to 4K and beyond, which generates 60 frames per second instead of 23 or less, and removes noise, adds colors and makes it sharp. Now the typical use case is the intelligent upscaling of low resolution images to high resolution images using complex AI image generation techniques. The digital economy is under constant attack from hackers,  who steal personal and financial data.</p>
<p>“From adding contextual awareness and human-like decision making to launching new business models and driving tangible changes in productivity across a range of industries, Generative AI is transforming the way we work. The Generative AI practice works in conjunction with the Deloitte AI Institute, which supports the responsible growth and development of AI through engaged conversations and market perspectives. Already a number of use cases around developer productivity, fraud detection, supply chain optimization, smart factory among others are being considered for deployment with anticipated significant benefits. As Generative AI evolves, commercial use is impacted by emerging ethical, legal and policy considerations. Deloitte is committed to the safe and responsible use of Generative AI, guided by its Trustworthy AI™ framework which helps clients develop necessary safeguards and balance competing ethical priorities during product development and operation.</p>
<h2>Experience Information Technology conferences</h2>
<p>VentureBeat&#8217;s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. DialpadGPT is currently available to Dialpad AI platform customers in the company’s Early Adopter Program. We’ve reached out to Adobe for more specifics on how many credits come with the different plans.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="300px" alt="launches generative ai"/></p>
<p>But generative AI only hit mainstream headlines in late 2022 with the launch of ChatGPT, a chatbot capable of very human-seeming interactions. Creating compelling product titles, bullet points, and descriptions has traditionally been a cumbersome task for sellers.</p>
<h2>Want to learn more about Generative AI?</h2>
<p>With the launch of Anyscale Endpoints, developers now have a simple way to build distributed applications that leverage the most advanced generative AI capabilities using the application programming interfaces of popular LLMs such as OpenAI LP’s GPT-4. They required to assemble their own machine learning pipelines, train AI models from scratch, then securely deploy them at large scale. ‘<br />
Now, Anyscale said, developers can “seamlessly add LLM superpowers to their distributed applications” without needing to build a custom AI platform. What’s more, Anyscale said, they can do so at much lower cost, with Endpoints said to cost less than half the price of comparable proprietary solutions. Starting<br />
 today, Creative Cloud paid plans now include the&nbsp;new Firefly web<br />
 application, a playground for exploring AI-assisted creative expression and<br />
 Express Premium, the all-in-one creativity app with new generative AI Text to<br />
 Image and Text Effects features.</p>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<ul>
<li>It builds on the extensive AI, data and analytics learning badge curriculum and credentials introduced in 2018, with over 100,000 credentials awarded to date, as well as the EY Tech MBA launched in 2020.</li>
<li>When they work, they generate the best images; the sharpest and of the highest quality compared to other methods.</li>
<li>Prior to joining AWS, Howard was CEO and President of C360 Technologies, a computer vision SaaS company that provides ultra-high-quality video solutions to broadcasters and sports leagues.</li>
</ul>
<p>Accenture and PwC, meanwhile, have announced that they plan to invest $3 billion and $1 billion, respectively, in AI. In a world ruled by algorithms, SEJ brings timely, relevant information for SEOs, marketers, and entrepreneurs to optimize and grow their businesses &#8212; and careers. If satisfied, sellers can directly upload this content to their product listings. Our goal is to provide you with everything you need to explore and understand generative AI, from comprehensive online courses to weekly newsletters that keep you up to date with the latest developments.</p>
<p>It can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs. Once the campaign is designed, Intuit Assist can help schedule it to be sent and added to the company’s marketing calendar. Additionally, it can generate automated draft email content using product and service data from QuickBooks. The assistant can also add customers to the Mailchimp sales pipeline for long-term tracking in case businesses have longer sales cycles or lead qualification processes. The offering also provides human assistance using Intuit’s live platform when needed.</p>
<p>Image Generation is a process of using deep learning algorithms such as VAEs, GANs, and more recently Stable Diffusion, to create new images that are visually similar to real-world images. Image Generation can be used for data augmentation to improve the performance of machine learning models, as well as in creating art, generating product images, and more. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst &amp; Young Global Limited, each of which is a separate legal entity. Ernst &amp; Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Information about how EY collects and uses personal data and a description of the rights individuals have under data protection legislation are available via ey.com/privacy.</p>
<p>Firefly powered effects in Adobe Express make<br />
 it seamless to import, edit and sync assets across applications, quickly make<br />
 social media videos and posts and resize creations, all while empowering teams<br />
 to create on-brand content at scale. Larger enterprises and those that desire greater analysis or use of their own enterprise data with higher levels of security and IP and privacy protections will need to invest in a range of custom services. This can include building licensed, customizable and proprietary models with data and machine learning platforms, and will require working with vendors and partners. The benefits of generative AI include faster product development, enhanced customer experience and improved employee productivity, but the specifics depend on the use case. End users should be realistic about the value they are looking to achieve, especially when using a service as is, which has major limitations. Generative AI creates artifacts that can be inaccurate or biased, making human validation essential and potentially limiting the time it saves workers.</p>
<h2>Meet 3 Amazon sellers who support local communities every day</h2>
<p>It  features a universal serverless compute application programming interface and an expanded ecosystem of libraries. Using them together, developers can build scalable applications that run on multicloud platforms without needing to worry about the underlying infrastructure. That’s because Ray eliminates the need for in-house distributed computing expertise.</p>
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" width="306px" alt="launches generative ai"/></p>
<p>Our models learn to infer product information through the diverse sources of information, latent knowledge, and logical reasoning that they learn. Unfortunately, despite these and future efforts, fake videos and images seem to be an unavoidable price to pay for the benefits we are expected to get from generative AI in the near future. As trust is becoming the most important  value of today, fake videos, images and news will make it even more difficult to learn the truth about our world. NVIDIA announced a new ML based method for compressing video called Maxine used for teleconferences, that reduces the required bandwidth more than ten times, in other words, it enables ten times more people to attend the conference at the same time.</p>
<div style='border: grey dashed 1px;padding: 10px;'>
<h3>Adobe publicly launches AI tools Firefly, Generative Fill in Creative &#8230; &#8211; VentureBeat</h3>
<p>Adobe publicly launches AI tools Firefly, Generative Fill in Creative &#8230;.</p>
<p>Posted: Wed, 13 Sep 2023 19:17:47 GMT [<a href='https://news.google.com/rss/articles/CBMib2h0dHBzOi8vdmVudHVyZWJlYXQuY29tL2FpL2Fkb2JlLXB1YmxpY2x5LWxhdW5jaGVzLWFpLXRvb2xzLWZpcmVmbHktZ2VuZXJhdGl2ZS1maWxsLWluLWNyZWF0aXZlLWNsb3VkLW92ZXJoYXVsL9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>Based on text, voice analysis, image analysis, web activity and other data, the algorithms decide what the opinion is of the person towards the products and quality of services. This news release has been issued by EYGM Limited, a member of the global EY organization  that also does not provide any services to clients. EY.ai will be underpinned by the EY.ai Confidence Index which leverages industry-leading practices for risk, governance and data management to deliver comprehensive AI evaluation and monitoring.</p>
<div data-counters='1' data-style='square' data-size='regular' data-url='http://www.isarc47.org/generative-ai-7-steps-to-enterprise-genai-growth/' data-title='Generative AI: 7 Steps to Enterprise GenAI Growth in 2023' class='linksalpha_container linksalpha_app_3'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div><div data-position='' data-url='http://www.isarc47.org/generative-ai-7-steps-to-enterprise-genai-growth/' data-title='Generative AI: 7 Steps to Enterprise GenAI Growth in 2023' class='linksalpha_container linksalpha_app_7'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div>]]></content:encoded>
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		</item>
		<item>
		<title>Artificial Intelligence degree BSc Hons</title>
		<link>http://www.isarc47.org/artificial-intelligence-degree-bsc-hons/</link>
		<comments>http://www.isarc47.org/artificial-intelligence-degree-bsc-hons/#comments</comments>
		<pubDate>Mon, 03 Jul 2023 07:00:43 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11372</guid>
		<description><![CDATA[Robotics and Artificial Intelligence MEng Prospective Students Undergraduate These allow an application-level view of design and implementation to be explored. Throughout the course, the quality of application design and the need for a professional approach to software development is emphasised. This module provides a comprehensive overview of the methods for machine learning and data analytics<br /><span class="excerpt_more"><a href="http://www.isarc47.org/artificial-intelligence-degree-bsc-hons/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<p>
<h1>Robotics and Artificial Intelligence MEng Prospective Students Undergraduate</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="ai engineering degree"/></p>
<p>
<p>These allow an application-level view of design and implementation to be explored. Throughout the course, the quality of application design and the need for a professional approach to software development is emphasised. This module provides a comprehensive overview of the methods for machine learning and data analytics suitable for use in the data analysis and Big Data Analytics. It also provides practical skills for working with various tools for data analysis and Big Data Analytics inside and outside the platform such as Python, R, Spark, etc.</p>
</p>
<p>
<ul>
<li>If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100.</li>
<li>This module is intended to serve as an introduction to machine learning and pattern processing, but with a clear emphasis on applications.</li>
<li>It covers the main steps in the process of developing such systems, from requirements analysis through to their implementation and testing.</li>
<li>You can use your second application for any other Science and Engineering programme.</li>
<li>Knowledge of AI solutions will enhance your job prospects with businesses such as online retailers, fintech companies, corporate enterprises, technology start-ups, electronic entertainment vendors and network service providers.</li>
</ul>
<p>
<p>Supervised work in computer laboratories puts into practice principles you have covered in supporting lectures. Mohammed is a Senior Lecturer in Data and Information Science at the School of Computing and Digital Technology, Birmingham City University. He has been working on developing artificial intelligence tools for healthcare and life science applications since 2005. Our successful development of forensic computing has led to a specialist forensics laboratory that is fully equipped with essential hardware and software for this sensitive area of study. The laboratory includes high-spec PCs with built-in multi interface Tableau write blockers, EnCase and FTK computer forensic software and steganography detection and analysis software, to name but a few.</p>
</p>
<p>
<h2>Electrical and Electronic Engineering MEng/BEng (Hons)</h2>
</p>
<p>
<p>The curriculum encompasses a wide array of interdisciplinary subjects, from computational thinking to medical sciences and humanities. Courses include Automated Reasoning, Data Modeling, Machine Learning Foundations, Cognitive Robotics, and Cyber Security. The programme prepares students to comprehend and apply AI techniques in diverse real-world scenarios, fostering a comprehensive understanding of this dynamic field.</p>
</p>
<p>
<p>If English is not your first language, you must meet our minimum English language entry requirements. An IELTS score of 6.0 (no element below 5.5) is proof of this,&nbsp;and&nbsp;we&nbsp;also&nbsp;accept a range of equivalent qualifications. You might be interested in taking your subject interest further with postgraduate research. While studying your Computer Science with Artificial Intelligence degree with us, you’ll also have access to dedicated industry-standard facilities in a fully equipped lab running the latest software. Plus, we’re home to a Cisco Systems and a Microsoft Academy Centre, so you can rest assured knowing our university course will prepare you for a successful career in the industry.</p>
</p>
<p>
<h2>Modules</h2>
</p>
<p>
<p>You’ll be equipped with solid knowledge of computer science and will gain a strong understanding of theoretical and practical aspects in AI. You will also gain expertise that is in huge demand within the UK industry, and will be made competitive <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> within a plethora of recruiting sectors in the country and beyond. Offer conditions will vary depending on the institution you are applying from. Generally, we do not accept applications from students studying at Affiliate Colleges.</p>
</p>
<p><a href="https://www.metadialog.com/"><br />
<figure><img src='https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp' alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='402px'/></figure>
<p></a></p>
<p>
<p>Our Departmental Examinations Team is also available should you have any assessment queries. This allows you to practice different techniques, from report writing, <a href="https://www.metadialog.com/blog/what-is-an-ai-engineering-degree/">ai engineering degree</a> presentations and live demos to timed programming assessments and closed exams. It also means that you are not disadvantaged by being assessed in any one way.</p>
</p>
<p>
<p>Holders of the Sri Lankan A-Levels will be considered for undergraduate programmes as an equivalent to GCE A levels. For study on our Foundation and Undergraduate programmes English language at grade C or above in the CIE O Level or Cambridge High School Certificate&nbsp;is sufficient to meet the standard English language requirements. If you have obtained a 3 year diploma it is sometimes possible to gain &#8216;advance standing&#8217; to the second year of some undergraduate programmes. If you have completed a 2 year certificate or diploma at a local college, you may be considered for admission to undergraduate programmes in some subjects. For study on our Foundation and Undergraduate programmes, English language at grade C or above in the&nbsp;Kenya Certificate of Secondary Education (KCSE) is sufficient to meet the standard English language requirements.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>Do AI engineers code a lot?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>Programming proficiency</p>
<p> Unsurprisingly, programming is an important skill for AI engineering. Specifically Python, with its wealth of libraries like TensorFlow, PyTorch, and scikit-learn, is the go-to language for building and training AI models.</br></br></p>
</div></div>
</div>
<p>
<p>In your final year, you&#8217;ll get the opportunity to complete a major &#8216;capstone&#8217; project where you can apply the knowledge and skills you have acquired to a range of real issues in different contexts. This is a great way to learn and is a valuable bridge to employment or further research at masters level. In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 credits for the year.</p>
</p>
<p>
<h2>Entry requirements during Clearing 2023</h2>
</p>
<p>
<p>These skills and knowledge will prepare you for a wide range of career opportunities in the rapidly growing field of AI. For a student studying full time, each academic year of the programme will <a href="https://www.metadialog.com/blog/what-is-an-ai-engineering-degree/">ai engineering degree</a> comprise 1200&nbsp;learning hours which include both direct contact hours and private study hours. The precise breakdown of hours will be subject dependent and will vary according to modules.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="ai engineering degree"/></p>
<p>
<p>You will develop your programming skills in supervised lab sessions where help will be at hand should you require it. To build and text digital logic circuits and electronic circuits with a computer-based electronics simulator? Each module is assessed independently with all containing some components of continuous assessment.</p>
</p>
<p>
<p>Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content. It’s your responsibility to search and apply for advertised placement opportunities, but you’ll be supported by academic staff and the University’s Careers and Employability Service to find a placement that is suited to you and your career ambitions. In this unit you’ll learn about the design and development of robotics-based systems, robots and diverse human needs eg the young, the old and disabled people. For admission to this course, you must achieve the&nbsp;standard&nbsp;College requirement&nbsp;in the appropriate English language qualification.</p>
</p>
<p>
<div style='border: grey solid 1px;padding: 12px;'>
<h3>New Laser-Array Processor Could Vastly Improve AI Computing &#8230; &#8211; USC Viterbi School of Engineering</h3>
<p>New Laser-Array Processor Could Vastly Improve AI Computing &#8230;.</p>
<p>Posted: Tue, 08 Aug 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMicmh0dHBzOi8vdml0ZXJiaXNjaG9vbC51c2MuZWR1L25ld3MvMjAyMy8wOC9uZXctbGFzZXItYXJyYXktcHJvY2Vzc29yLWNvdWxkLXZhc3RseS1pbXByb3ZlLWFpLWNvbXB1dGluZy1lZmZpY2llbmN5L9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Your I-Explore module offers you choices from a range of subjects hosted outside of the department. You will be taught alongside students from other courses, with options including business, management and many more. Throughout the programme, you will attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced techniques and modules; many of which draw on current research taking place in the Department. The core of this programme has been designed to give you an  overview of computing.</p>
</p>
<p>
<p>Dr Perez-Liebana’s research is centred in the application of artificial intelligence to games, reinforcement learning and evolutionary computation. He has published more than 60 papers in leading conferences and journals with two best paper awards, a BCS Intelligence Prize, and 1,900+ citations. This stream explores the latest advances in speech and language processing technologies. Students will cover how to build systems that understand spoken or written languages; classify, analyse and generate text; sentiment analysis and information retrieval from large amounts of textual data. A table of accepted A level grade equivalents can be found below.Use this table to work out the equivalents to the A level entry requirements to  your preferred course(s).</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="ai engineering degree"/></p>
<p>
<p>Our School of Computer Science and Electronic Engineering is one of the largest and best resourced in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment. Essex has a long-standing tradition of research into artificial intelligence. It was one of the first UK universities to house a central research activity in artificial intelligence in the Department of Computer Science (which has since become the School of Computer Science and Electronic Engineering).</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="ai engineering degree"/></p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>Which engineering is best for AI?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>Computer Science (Computer Vision, Deep Neural Networks, Machine Learning)</p>
</div></div>
</div>
<div data-counters='1' data-style='square' data-size='regular' data-url='http://www.isarc47.org/artificial-intelligence-degree-bsc-hons/' data-title='Artificial Intelligence degree BSc Hons' class='linksalpha_container linksalpha_app_3'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div><div data-position='' data-url='http://www.isarc47.org/artificial-intelligence-degree-bsc-hons/' data-title='Artificial Intelligence degree BSc Hons' class='linksalpha_container linksalpha_app_7'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div>]]></content:encoded>
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		</item>
		<item>
		<title>Top 10 Chatbot Use Cases That Really Work</title>
		<link>http://www.isarc47.org/top-10-chatbot-use-cases-that-really-work/</link>
		<comments>http://www.isarc47.org/top-10-chatbot-use-cases-that-really-work/#comments</comments>
		<pubDate>Tue, 24 Jan 2023 15:31:11 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11350</guid>
		<description><![CDATA[By using sentiment and predictive analysis, they can maybe one day be as equally efficient as human support. When you consider this, you can understand why so many customers call a customer support representative to give them an update on the shipping status of their metadialog.com product. The existence of an approach means that the<br /><span class="excerpt_more"><a href="http://www.isarc47.org/top-10-chatbot-use-cases-that-really-work/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="chatbot use cases"/></p>
<p>
<p>By using sentiment and predictive analysis, they can maybe one day be as equally efficient as human support. When you consider this, you can understand why so many customers call a customer support representative to give them an update on the shipping status of their <a href="https://metadialog.com/">metadialog.com</a> product. The existence of an approach means that the customer support representatives that perform these exchanges and refunds do monotonous and repetitive tasks. Customer support representatives can sometimes lose their patience while communicating with customers.</p>
</p>
<p>
<div style='border: black dotted 1px;padding: 15px;'>
<h3>Lawyer apologizes for fake court citations from ChatGPT &#8211; CNN</h3>
<p>Lawyer apologizes for fake court citations from ChatGPT.</p>
<p>Posted: Sun, 28 May 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiUGh0dHBzOi8vd3d3LmNubi5jb20vMjAyMy8wNS8yNy9idXNpbmVzcy9jaGF0LWdwdC1hdmlhbmNhLW1hdGEtbGF3eWVycy9pbmRleC5odG1s0gFUaHR0cHM6Ly9hbXAuY25uLmNvbS9jbm4vMjAyMy8wNS8yNy9idXNpbmVzcy9jaGF0LWdwdC1hdmlhbmNhLW1hdGEtbGF3eWVycy9pbmRleC5odG1s?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Traditional assets like websites have trouble in providing the information necessary to close the sale, as they can unintentionally make content complex to navigate. They were looking for ways to improve their Container Price-Quote Flow. They also needed the new solution to be integrated with their CRM software for lead qualification and personalization. Another concern of Hybrid.Chat in using such a solution was eliciting spontaneous responses to screening questions.</p>
</p>
<p>
<h2>Examples of effective chatbot retail use cases</h2>
</p>
<p>
<p>The beauty of a chatbot for education lies in its simplicity and effectiveness. The chatbot seamlessly collects and organises all assignments, sending them directly to the backend. This eliminates potential disruptions or a system overload caused <a href="https://www.metadialog.com/blog/chatbot-in-different-industries/">by the</a> sudden influx of last-minute submissions. With an education chatbot, students have access to a 24/7 help desk that provides instant responses and support whenever needed. But with the help of a chatbot for education, you can transform this registration process into a smooth one.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What is the use of chatbot in daily life?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<ul>
<li>Make captions for social media posts.</li>
<li>Check your homework.</li>
<li>Make long articles easier to read.</li>
<li>Think of business ideas.</li>
<li>Write a great CV or resume.</li>
<li>Ask ChatGPT to read a contract and detect areas of concern.</li>
<li>Chat with ChatGPT.</li>
<li>Find love with ChatGPT.</li>
</ul>
<div></div>
</p>
</div></div>
</div>
<p>
<p>As we’ve seen the technology improve, the purposeless chatbots have disappeared (thank goodness). This, in turn, makes the website and app chatbots that remain and which add real value to the UX stand out clearly to users who need them. With such a sharp rise in customer expectations, businesses should push themselves to fare well. It could also answer questions about covid-19, such as how PCR tests work, or on the vaccine.</p>
</p>
<p>
<h2>Automate your website support</h2>
</p>
<p>
<p>You can design them to send an occasional meme, tell some jokes, or create quizzes. Would choose interacting with a chatbot over filling in an online form. For instance, your bot conversations can feed directly into Salesforce or any other CRM tool. AND here’s a list of top-ranked high-performing chatbot examples from the Retail and e-Commerce segment.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="309px" alt="chatbot use cases"/></p>
<p>
<p>It’s a great way to warm up the audience before sharing a lead magnet, offering a promo code, or announcing a product update. HR chatbot can take this burden off your HR department&#8217;s shoulders and collect feedback engagingly by chatting with all or specific employees. For example, you want to gather feedback about a recent event you have held, and instead of sending a boring Google Form, you can design an engaging survey inside the chatbot.</p>
</p>
<p>
<h2>#7. Usage of Chatbots for Personal Services</h2>
</p>
<p>
<p>Customer feedback surveys is another healthcare chatbot use case where the bot collects feedback from the patient post a conversation. It can be via a CSAT rating or a detailed rating system where patients can rate their experience for different types of services. Often, customers can get confused while browsing several products online. An E-commerce chatbot helps customers obtain detailed information about the product they are looking for or even helps them land on the right product page. Chatbots also help reduce cart abandonment as they can remind customers about the items left in their cart and prompt them to update their cart or purchase the items.</p>
</p>
<p>
<ul>
<li>Chatbots not only automate the process of gathering patient data but also follows a more engaging experience for the patients since they’re conversational in their approach.</li>
<li>Being a customer service adherent, her goal is to show that organizations can use customer experience as a competitive advantage and win customer loyalty.</li>
<li>With chatbots, you can track your customer journey to their interests, preferences, and needs.</li>
<li>Open-source conversational AI platforms are more flexible and allow businesses to completely personalize their chatbot.</li>
<li>AI-driven insurance chatbots are virtual assistants trained to simulate human-like conversations and process requests independently.</li>
<li>No one can tell you how to improve your business better than a customer, no matter how many capable and smart people your business has.</li>
</ul>
<p>
<p>Their bot even greeted customers while opening the app and asked them if they would like to place an order. Purchases made in the food and beverage industry are usually of the ‘high involvement’ category and a customer is always king. Exceptional customer service is a critical ingredient in the business success recipe, and that is usually a combination of quality, consistency, speed, politeness, and several other factors. A negative social media campaign by a well-known foodie could cause havoc in the cash register.</p>
</p>
<p>
<h2>Chatbot use cases for customer engagement</h2>
</p>
<p>
<p>To state a very B2B-specific example, let’s say you have a page that seems to be drawing a lot of traffic, but is weak on lead generation. A specifically-designed chatbot could ask a few pointed questions to visitors and help in converting more leads. As a result of these challenges, chatbots may fail to understand the customer’s intent, say unacceptable things, and experience epic fails. In this article, we present top 9 chatbot use cases that enhance customer service to show customer service executives possible deployment areas of chatbot technology. If you haven’t been incorporating chatbots in your E-commerce business, you’re missing out. There’s a lot of scope for strengthening your business &amp; processes and even driving sales with chatbots.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="306px" alt="chatbot use cases"/></p>
<p>
<p>They can remember actions users have taken on your site during their previous visit and re-engage them with a personalized message when they return. When people buy expensive products, properties, etc., they like to see all available options to compare them and find the best one. Chatbots can showcase all available properties with details, pricing, pros, and cons so that potential buyers can evaluate them and compare them.</p>
</p>
<p>
<h2>Travel chatbots</h2>
</p>
<p>
<p>In this case, the chatbot needs to be able to understand why a customer is returning a product and decide on the next steps according to your business’s return/refund policy. For instance, you might connect your chatbot to your live chat and trigger a handover whenever a customer spends a specified amount of time on your pricing page. GOL Airlines has a bot to answer questions about Covid-19 regulations, flight status, check-in information, and other things people may need to know before their flight.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What is the popularity of chatbots?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>According to the latest available data, ChatGPT currently has over 100 million users. And the website currently generates 1.8 billion visitors per month. This user and traffic growth was achieved in a record-breaking three-month period (from February 2023 to April 2023).</p>
</div></div>
</div>
<p>
<p>In many of our customers the CX teams and  content writers manage and author the chatbots. In regards to third party integrations such as Salesforce, Zendesk etc. many of the common functions can be done within the environment without IT&nbsp;support. If you are looking for a deeper workflow integration the IT&nbsp;team might need to provide support. The main aim of any business is to earn a profit by any and every means available. With people edging towards online platforms and social media for their day-to-day needs, it’s a  strategic and long-term dive for businesses to shift there, too.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>Where can chatbots be deployed?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>When creating a chatbot, you design the logic of a chatbot. To then bring it to life so your users can interact with it, you must deploy it on one of the media, which include Web pages, Facebook Messenger, WhatsApp and Twilio phone numbers.</p>
</div></div>
</div>
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<div data-counters='1' data-style='square' data-size='regular' data-url='http://www.isarc47.org/top-10-chatbot-use-cases-that-really-work/' data-title='Top 10 Chatbot Use Cases That Really Work' class='linksalpha_container linksalpha_app_3'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div><div data-position='' data-url='http://www.isarc47.org/top-10-chatbot-use-cases-that-really-work/' data-title='Top 10 Chatbot Use Cases That Really Work' class='linksalpha_container linksalpha_app_7'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div>]]></content:encoded>
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		<item>
		<title>Chatbot SaaS: The Complete Guide 2023</title>
		<link>http://www.isarc47.org/chatbot-saas-the-complete-guide-2023/</link>
		<comments>http://www.isarc47.org/chatbot-saas-the-complete-guide-2023/#comments</comments>
		<pubDate>Fri, 16 Dec 2022 09:35:27 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11309</guid>
		<description><![CDATA[Gain millions of insights on your customers, from buying habits to frequently asked questions, through easy-to-understand in-platform reporting. The number one AI chatbot platform using conversations to maximize profits and boost efficiencies for ecommerce brands? Meet Arathy, a skilled SaaS writer and consultant with a passion for marketing and content creation. With a wealth of<br /><span class="excerpt_more"><a href="http://www.isarc47.org/chatbot-saas-the-complete-guide-2023/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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width="305px" alt="ai chatbot saas"/></p>
<p>
<p>Gain millions of insights on your customers, from buying habits to frequently asked questions, through easy-to-understand in-platform reporting. The number one AI chatbot platform using conversations to maximize profits and boost efficiencies for ecommerce brands? Meet Arathy, a skilled SaaS writer and consultant with a passion for marketing and content creation. With a wealth of knowledge and experience, Arathy helps businesses achieve their goals. She specializes in software outsourcing and is dedicated to helping startups succeed.</p>
</p>
<p>
<ul>
<li>But after being a partner at Appixels whitelabel chatbot, things took an upward turn for us, as it complemented our digital marketing strategy and reduced the cost per lead considerably.</li>
<li>Chat Prompt Genius is a web app that helps users generate high-quality prompts and content ideas for chatbot conversations.</li>
<li>CaptionGen is an AI tool designed to generate captions for images, utilizing the power of advanced n..</li>
<li>Since this is the case, the success of an AI chatbot depends significantly on the platforms it can operate on.</li>
<li>Zendesk Answer Bot is perfect for businesses already using Zendesk products and looking to enhance their customer support processes with an AI-powered chatbot solution.</li>
<li>Saurabh Kumar, CEO of Rezolve.ai, announced this major update on Tuesday, stating that the new ChatGPT feature will revolutionize the employee service desk industry.</li>
</ul>
<p>
<p>It features GPT-3.5-turbo technology and a chatbot model to provide faster and more accurate insights tailored to .. CaptionGen is an AI tool designed to generate captions for images, utilizing the power of advanced natural language processing technology. GetAnswer is an AI chatbot creation platform that allows users to effortlessly create and deploy intelligent chatbots within minutes. The platform easily integrates with a wide range of knowledge sour..</p>
</p>
<p>
<h2>Our AI Chatbot Development Services</h2>
</p>
<p>
<p>Since you will be integrating great automated AI chatbot into your clients’ businesses, ensuring that the graph to their profitability only go up, and so does your growth. Some technical knowledge was still required to build most software. Analytics allow you to measure your bot’s performance and generate reports so you can improve your chatbot over time. This makes your bots more efficient and improves their ability to help customers. When you roll out new versions of your software, there are likely to be new features that help customers gain more value from your product.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What is the best AI chatbot?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>The best overall AI chatbot is the new Bing due to its exceptional performance, versatility, and free availability. It uses OpenAI&apos;s cutting-edge GPT-4 language model, making it highly proficient in various language tasks, including writing, summarization, translation, and conversation.</p>
</div></div>
</div>
<p>
<p>Chatbots also provide a consistent and reliable experience, improving customer trust and loyalty. This improved customer experience can lead to increased revenue and enhanced <a href="https://www.metadialog.com/saas/">brand reputation.</a> Built-in NinjaChat helps users to transfer the chat session to a live agent in order to provide better customer support. My digital marketing agency had a  hard time in qualifying and converting leads. And the data we collected made us realize that the weak link is not in our marketing strategy or the campaigns we run. First, they did not have enough support staff to entertain the amount of traffic they were getting.</p>
</p>
<p>
<h2>Get in touch with us to know more about how we can help you with your conversational AI needs</h2>
</p>
<p>
<p>Create customized conversation forms with multiple field types to collect information through a chatbot like a name, Email, Location, Geocode and several other. The technology is a powerful extension <a href="https://metadialog.com/">metadialog.com</a> of your team and a support system for your customers. ChatGPT is a chatbot based on OpenAI GPT-3 language model,  which allows users to interact with AI in a conversational format.</p>
</p>
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width="303px" alt="ai chatbot saas"/></p>
<p>
<p>This makes it an incredibly powerful and versatile tool that can be used to create bots to engage with customers, automate tasks, and streamline business operations. The platform can handle a large volume of conversations at the same time, which makes it suitable for businesses of all sizes. Ada also provides detailed analytics that give businesses insights into how their customers are interacting with the chatbot. As the B2B digital market grows, AI chatbots have become a necessity for businesses looking to enhance customer engagement and drive sales. According to a recent study, chatbots will become essential for brands to survive with 80% of organizations searching for new ways to implement these tools in the future. After bringing the “Ask Spectrum” chatbot into its customer support team, Charter Spectrum was able to handle 83% of chat tickets without human intervention.</p>
</p>
<p>
<h2>Launch an interactive WhatsApp chatbot in minutes!</h2>
</p>
<p>
<p>Additional requests beyond the monthly limit are charged at a certain rate per request. There are many types of Chatbots available, but choosing the perfect one may be a tricky task for some people. Some SaaS Application Development Companies do it for you while developing the application. While selecting the Chatbots, make sure to identify your target audience. To learn how AI is completely transforming the travel experience, download this eBook.</p>
</p>
<p>
<div style='border: grey dotted 1px;padding: 14px;'>
<h3>EY announces modernization of payroll employee care using &#8230; &#8211; ey.com</h3>
<p>EY announces modernization of payroll employee care using &#8230;.</p>
<p>Posted: Wed, 29 Mar 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMid2h0dHBzOi8vd3d3LmV5LmNvbS9lbl9nbC9uZXdzLzIwMjMvMDMvZXktYW5ub3VuY2VzLW1vZGVybml6YXRpb24tb2YtcGF5cm9sbC1lbXBsb3llZS1jYXJlLXVzaW5nLWNoYXRncHQtaW4tYXp1cmUtb3BlbmFp0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>We create dedicated teams and provide full transparency, adaptive scaling, product orientation, and technological superiority to ensure each project&#8217;s success. Build smart chatbots with Microsoft&#8217;s Azure Bot Service and framework. We use monitoring insights to continuously refine and enhance your AI chatbot, incorporating user feedback to ensure ongoing improvement and relevance. Collaborated with AwayAway during product discovery to define needs and explore solutions.</p>
</p>
<p>
<h2>Zendesk Answer Bot</h2>
</p>
<p>
<p>Your chatbot will come across as a seamless addition to your SaaS brand and instill confidence in your customers. Now you have a sense of why chatbots can prove so beneficial for your business, let’s look at how you can actually use them to best effect. In an increasingly competitive environment, chatbots are an important differentiator for your SaaS business. One solution is to simply hire more agents and train them to assist your customers, but there is a better way. AI-powered SaaS solutions can automate routine tasks and workflows, freeing up time for employees to focus on more high-value tasks and driving efficiency. Zowie is the only customer service suite built for brands who want to maximize efficiency and unlock the revenue–generating potential of customer service.</p>
</p>
<p>
<ul>
<li>AI Studios also offers a range of customization options, allowing users to customize videos with their own branding, music, and text.</li>
<li>Corpora is document search engine that helps users find the answers to their questions in their document library.</li>
<li>Designing, developing, and deploying a chatbot requires a lot of time and resources.</li>
<li>They can answer customer questions about pricing, capabilities of the software, or ROI expected from migrating to the tool.</li>
<li>A key component of any artificial intelligence solution is data—the more data you have, the faster your AI chatbot can learn and improve.</li>
<li>Its powerful search algorithms enable it to understand conversational user queries and deliver accurate, context-aware answers.</li>
</ul>
<p>
<p>Leverage our AI chatbot services to simplify your employee and user experience, while also reducing your operational costs. Our chatbots offer enterprise-level security, ensuring the privacy and safety of your interaction data. Leverage our specialists&#8217; advice on chatbot implementation specific to your industry. They are proficient in defining requirements, evaluating existing systems and processes, and recommending the most suitable AI chatbot solutions.</p>
</p>
<p>
<h2>time.</h2>
</p>
<p>
<p>Chatbots can gather helpful information about consumer behavior, preferences, and pain areas that can be applied to improving goods and services. Also, this data can be used to create tailored offers and focused marketing initiatives, which will increase revenue and sales. With machine learning abilities, chatbots’ comprehension of user needs and preferences can continuously improve.</p>
</p>
<p>
<div style='border: grey dotted 1px;padding: 12px;'>
<h3>ChatGPT: Finally, an AI chatbot worth talking to &#8211; Computerworld</h3>
<p>ChatGPT: Finally, an AI chatbot worth talking to.</p>
<p>Posted: Thu, 08 Dec 2022 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiYWh0dHBzOi8vd3d3LmNvbXB1dGVyd29ybGQuY29tL2FydGljbGUvMzY4MjE0My9jaGF0Z3B0LWZpbmFsbHktYW4tYWktY2hhdGJvdC13b3J0aC10YWxraW5nLXRvLmh0bWzSAWVodHRwczovL3d3dy5jb21wdXRlcndvcmxkLmNvbS9hcnRpY2xlLzM2ODIxNDMvY2hhdGdwdC1maW5hbGx5LWFuLWFpLWNoYXRib3Qtd29ydGgtdGFsa2luZy10by5hbXAuaHRtbA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>It can assist with answering questions and providing recommendations in various topics, as well as offering language translation. The tool is called Chatspot and it is a combination of ChatGPT and PowerDall-2 for chatbots. Users can start chatting immediately and the tool is committed to privacy.</p>
</p>
<p>
<h2>Reach customers on their desired channel of communication</h2>
</p>
<p>
<p>However, contact centers and robust customer service departments should select chatbots with machine learning that can learn and improve over time. Keep in mind that you will need to continue training your chatbot to make sure its outputs are accurate. It was key for razor blade subscription service Dollar Shave Club, which used Zendesk bots to manage subscription updates.</p>
</p>
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yOlQRkcbM10Wdo5tOHpqEVFFpVRmpJNbFp0ixHu1mzc7WPOdo344npbnmu0XtxJl0ZdK+zivio6bRkz1x5Ps07Yp+dNpfFHrBizi4XaKk/aSTtFXfTXkc1VVo762PS8Qw8KlN51eybXkeMcsrs+V0zjni6ytNfEXsm9OZzq2MnCbbcsj0V+RGpVefRXfQSq1dc0ZrpazRzmLW7U8JiG5XnJ66q50ZVbo5Ep1NfA3Hk3a5PDV/DLUlxN6XYmfI9ZwqFsNSXlf9TxtKWapC+zlFP0ue9SSSS0S0t0PR4o8/kogOWwkNnZj4RiEhgRPgokZ3JCuEs4ef7azthIde+j+2R4Nnue3P8JT/Oj+yR4U55duuPQAYjLQAAABiGADEAQwAAGAgAlcdyIADJkGSKNYmMRzdERgBWQNMQICxDRFMdyqbZC4NiRRNE0ytEkyixMkVpk0wiQyIwgNuAp3WbM1aW3IxHR4e/q3+J/JGculdrD6ow47Cyc4NTk7z26F2HqcjXB6nOLRRpOCs2292zS4SkvDLKVyktOpfRZ1iUcKpTjTWabe+jVuZ0SqBYdYRmUKnet51lyrS3M4PaP24npzzHaT7SJLNQy6U8Bi3i6dnyl8LHszx3Z6pbFrzi0ewzEw+WcWfiKl3NTLa+V7+h4nF0Jwp06zXhmkm1yklz9V8j3OKl9XL0ZxZUVUwVWm9rXXk07r5Eynyb/M8pSl4m1uWupVXsq/vMk5OErMsji7Lc5WOkukp1aju5KxkUmrk6mJuzO5uT0EiW7a8JK80+jPSVuNyjbNNRvs7WTfqefwdK2pvy5k09U9GT30em2yWPqz9mo7eTK3Uqf8yX/uZ5unWcJPI2ld+83UuLP+ZfA7bcLL8Oo3P78vixOUvvS+LMsOIQlzt6lvfF4Z5TvL7z+IeLq/iVusRlWGjdYeONumtbpTS99mcM63E53orzqX/RnJM11x6AABGgAAADEADAQwAAYIIYCGADEFwHcdyIIo2JhcqUyxGGzAaQwhWIN6knMpc9SjQhNkc47hQAguUSuEJEHMhTnqEa0ySZTGdyyIFlx3FYUnYntE0JSsdDh9WORxd7uWmnkjlSblsdng1N91O++d/JEyyjWE3W2jKwq/EEnCzftWloJKxJU1Jxvyd/UxFsdClUU43Xy1LHiIwV5OxCmwlUTbWh0iWNXDMbGrBa3lryOhc5/D4KEFH9TemdcU1pnWNg6jhfknszgdo39ZE9E6azuWm1jzHaF/WroSpl0o4PWUMXTu9HdfoepxnGMPQXjneXKEdZP+3vPByrtO8dH15lDkZ5Z3p6LHdqqk7xpU404vS78cv7HElipyks0m7NO19L+hnuRuNDs8QwybOVPDtbfI7k5qcIyXNJ+8yzgcfZ3uLkLDt7/2Rqo0EjR3RKMDNyJinRgPH1u6pP70tF/cnUrRpQzT9y5tnDxWIlVnml6JckuhcMdmWWlSC4mB3cU0X06jWzM6ZNMqNsa99yTqGJSJxmGdI8Qd6UPxL5M5p0cSk4Qi/vJfoxfQoeZjLKY9umMc8Do/Q4efxMuKoqDVjMzlWxQAAbQAAAAxAwAZFDYDQxA2EFwQAAwEMo1KmiaQxGGwhiC4RFwKpR1LrkXHUpolEkABoCAAE4kYR1JgkVlOMRJ/WwXqSTIL7WHvJl0q/EVXBJqNyVKopxuFXYrwa8HvZw1PXa/KNJWrSXKyO9wqa7uS/wBT+SODT+2l6I7HDqUmm00oqWq9xcu1xunQFezXm7ItikYsX3l4eJWzaaFxW9ulKtZeZVTqa3M8XK3id2Rm5fyux0jVmo7OFrppNPQ6MKh5nhmdRV5aa6HWw+Ni6eGcozTrpWa8UYyts3/2J5PLPHq1j1uTXi8bClGUpPZbc/I8PxHHOtUlN89lySPQY3u+7rzxKqTVOqqdqbSctE07O33upxsDh8PiMYoQjNYfu5SkpStJWWuqb5tGfxGN3dXUZ9K5bmK5263C6UeJUcPlbozjmtmd/Yk9994k6+CwkqeJnRp1IywsvrIyk2pxT1S1e6T10M/iceOLz/2n0q4Legmz0cuDUvp8KajfDSout7T9lK2++7T95xKFehGtKVWi50PHaEZNOOvh1uuRvHzTKflnxsuGu1mBx2RZJezyfQ1TaesZGvjGEwlJ06EKElVrKGSpmbUM07a3kaP8Nwcq88DGjKNRUs6rZne+nn5ryPPfPjZ7avP826zGzhyO/ivakl6spqcTitKazPq9l/cp7PYSNTHU6daKnBuaad7NqL/sdTA4Gi6nFU6UWqSk6ense3t8Ebyzxwur/N3STdnDhVKkpyzSd35ldz1aoYTCwwcK2HhPv43nWm9IaJ31235WI4HCYWnSx1TuqeIhRnem21K8MqdlLXqPxM19t/8AedJ9P93lwN3EsZRrZO5w0aDWbNlaeba2yRhPRjbZuzTnQh31EiMHe76mkXRdx5uhC/L4gmVBUfsfiX9TVXbUZNbmSpvD8SNdZXjJLexw8ncdMenN+kT+8xVKjl7TuS+jz+6VtW0Ok18JSAAKgAAABSGJgNAgGgBsBDYQAIYUAABHQZBk2QZlugGxCCAAANQAAFUCAQQ7kkRGiokhR+1h7xojH7WHvJl0NkmuYPbQpxdNSWoYJ+DXk7Hn1qbaU4V3qyPScKX1Mvxv5I85h/tpno+EzSpSTavn29yNZfcuDQ52KnK4qz1M1TFKLSut7M1MTHKbaXIhn1F3ia0ZXKolubjrk20ZG/BVKaocPjUzXkouDS8OdLRNnHweIUktdTRLHd1h8JnpyTozgmrxvK3Na/Oxy/1Pjyzkk/f/AIrnjlIvq1aaoY2WJpynBYqzjB2e0UtbryObwaMZT4hUoU5ZVQlGnHWU/Fy53fhH/jWGccRCtRrSp1azqpRyp2tGyfi6ozx4xRo08RHCQq0pVO7ySbUstt7tt+Z5phnrKau7r+nwXKbl27E4N4zhVSSalKlNSTVmpKm3Z/FmWh7HGf8A1f8A7M9HtCmsJKtGpOrQnUc5LL4k4yWmvnEMTxmh3WIhh6FSM67vUlUafrZXfV/Ek8Xkn5bP0/xltblj3v8Amm2ljF/hKqf8VQeGv5ZrfJJnlavsy9GdKHEI/QZYbLLP3udS0y2v63/Q59RXi11TPX4PH6e371yzy3p6LtD/ABmA9KH/ANhto/8AnVT8j+kDhcZ4mq9ShVpRlGVKEVaaXtxlfk3odL/+gw2eWJjh6qxUoZNWsi28/JcjyXxZzDGa+LP8uvtN3lzezy/8Rpfiq/tkdLh/2vGfSfzqHCwOLdCvTrpZnGTbW1000/mdXFcbwqp4n6NSqKtiU1Nz0Ub3vzfV7HXzePO5cTuSf2rOFmkuEV1XpQwGNpyi2r4eo4uL0XK/NfBrQ08IorDYbiMK8c8adRqcVpnjkXzRnw3HcNKOHniKNR4jDxtBxtlelr7rpzIYXj9FrFrE06jWIne0LPwZUrXunfQ454Z3cmNk4/vv4/2alk1y5HEa9GpUUqFJ0oZUsr18Wt38jKbuJzwssn0SnUhvn7xt32tbV+ZhPoeP7Z3P6uF7BCnsNsjCdl6fM2ixvZfELkI357sbAcnrH8SN85ZU29kc5bx/EjfiPYl6HDydxvHpV9Nh5mCbu2+rIgdMcZOkt2AADSAAAAExikA0DAaQAIGCAYgAAGIAOiRYKaBsy1UGIbEVkCzaicity1C7XgQUyVw1sCATAYRZFyIxkVlehR+1h7xRkEqd2ndproLNwa62xVgvYf4mQbtHe9jLGTWzZi4fl0u2nD/bTPQ8KpRcJNxu82j9yPKZndtN3Z6bs1JuhO7v9Y/2xJ687b8d3WzExMFaim07a3uzpYkw1HY1GbOVW2xLJdajhG7Lp7Dbp8IYaOWxm4vXu4w6K79Waqc0cbEVc05PqzptxyqmbKb6onNlcdWupGV1MmyFLcskipSQxDAQARW4BIhYm0DRFRRFk2RYARuBBsAb1K4vX0uwlO/qghu2FXJ/ESBD/wB6hAt4/iR0ZxumnzOZUvo763F9Jn95nPPG28NS6bfoUPP4mXF0lBq3Qj9Jn95kalRy3dyY45S80tiAAB0QAAAAmAmAxtiQm7gCJCABgAgGAgA3d0NIkgI2gyJORBhhFwK3HUuINFUspIBBTuAhpAJoUUSBIIkkTRBEkURry0sZydWV2VhAem7LUpypSyxvHvNXfbRHmD0/ZqrOOHnldvrH+2JjO6m2/HZMuXTx9LI7HFxGdyW3tHUruc9W7sxyw8r3OUzay1bwlSulruZsViJLRI1JSW5Obi1Zx1JM+W7ZZqOYpyVK7e+hz5S1NvEJWtFcjnNnonTz5dlNlcH44jmyun7UfUqOhgqeepCG2aUY+l3b+p7KWCwMfA8OnFXi53ebMqippb85N/A8bg5uE4zW8ZRkvVO56il2rouadTDuN7JyzKVle97W5N36nTHTNc/jnB1Qr5aN3CVN1FFu7VnZpc3q1b1OQ4SW8ZLVx1TXiW69fI73GeLuGOlOlaSVKFPd2ytqcrNdU0r8jnUeMOEaccj8GT/iNrwXyuMbeF3er525XJdLHOk7b6b7+W5GEk3o0dP/ABmTdJzzT7udGavO9slPK7X5uXiG+Md5GMaqlK0afiai3mSkpz827r4E1Fc5Jt2SbbdkkrtvyQJ3OmuI0m45qatGopx8Ebrxzbu+ejhptoKljKF4XUVFQSSeHjPu5eG9+dS9pava/wAL6z9RzcvO2m1+VyDOysbh5OEZRiqSq4ieVQcUr2VO9k9LcrPZaHMx0oOrN0oqNPSyV7batXSaV+ViWaGaRVNljZXJXMqqkhwYuXoJAXomUx9S2MfUIVXb3lJdVWnvKiAAACgAAAEAMAFIAYByBCJAAxAAXAAAAAAOiMQEdCkQZORBhiogAgBiGBVCRIEgIEAMCoY27ISI1XoEUvcQCZUB6jsxb6PO6/4r/bE8uem7NP6if5j/AGxExl4rOVsnDs5I/wC7kXRj/tiuGYv0sP0c/qZfqUsNF8/1K3g+j+RbmDMT6OK/VycivwOcm3nRnlwCpykjv5hqR01E968xPgFbqv1Ko8CrqSdlv1Z65SGpD1h9SvLrhlZX8P6lNTBVY6uDsewTHlT0aHqfUrwyYM6HHcOqdVOK0ZzkzFdZdzYGtAsKUSKTkGYg0Qz2CrswsxVOdkVObA0SZVnQoyvoyEo2ZAN6gIALoJ9V8LlkYdbv32LKeGk+RohgZE9ovrax1Y2Wy3KTbjKDhFPzt+jMRZdpZoAAAAgAAABXABMbEAIkiKHcBgAWAAGK4DAQWA6KAjGRKxGyZBkpEWEpMrbJORW3qVFg0iCZYiKYgE2FDIpkXMjGRWVxVUZO5VJhEQAAEel7Nv6if5j/AGxPNHpOzn2EvzH+2JrHtzz6de4myLYrnRxSuFyFxpgTTHcgiSAmmSRBEkUWInEhEnEqOD2nh7EvM89c9V2jhekn0Z5l0zll29GHSCkTTDuiSomWkXG5VUpPkasiQpVYrmijBqnqiTgmrovnWiyjNd6aIiqmWxlfRg439Ssgco2IlilfcUogdXATvCPXY6dKN0YeDYOWW8otJvS+mnU7Madjhl2749ONxhfVr8a+TOMd7jytTj+NfJnBOuHTln2BDA0yQhiACJITAExAADQ0JDuAwEMAGIAGAhgb40S6MLEVPQHUM7deEaiKmTnK5W2GKg4kHHUsbI2CJKJIVwuRrYISLEPINlZmiUEWSgJI1tnRTKmSmyDKhAAADPRdnX9RL8x/tR5w9F2e+wl+Y/2o1j2xn06jYrilJLdlLr+JJbPmbcdLxojckiokiSIokgJokiKJookiyJWiaKMfGo3oSfQ8r3qPYcQjejNeR4x0bnPJ1w6OVay2M88TJ7FqpSRYqSMujE8z3uRcH0Og4IUlFb2Jo251gNcpw6lU5x5IioqfUUrEUm3ZLV7Janc4d2flK0q/hj9z+Z+vQlsiybcrCYOpWlanG/V7JerPR4DgsKVpT8c+rWi9EdSlRjCKjGKUVskE5JJnHLO3p2xwkVvQqnUsRq1dTHUqmWts3G6l6cfxr5M4h0uJSvBfiXyZzTvh04Z9gAA0yQmMAIgDBAIAYAAxDQDGK4XAYCuO4DC4gA3tCsTZE5tI2E0TAbRVlDKWAXYrsFiYDakh5hAQDZGTJFVRmoiuRFjYjSABAEB6Hs99jL8x/JHnj0HAPsZfmP5I1j2zn03YuOaNuRxqkZRdru3I7rKHhk+Zqucuk8K/BHrY0IopU8vMuRWamiSIJkkyiaJJlaZJMItTJJlaZJModVXjJdUeefB228teO/NNHoW9GedxKqwlJ7K7t1scvLbOno8Ml3tGtwKp/LWg/jE52K4dXp+2nbruvijp0sTLmbaeKdrHH3rv6yvKunNc/wBRKUr2av5HqJcMpVPFrFv7r0+BCtwqEINxm5Ncnbb3GpnKxcbJt5+lSU5ZYwk5dLHUw3Z2UtajyrotWaeH1lTnblLR+p0Z4zoTO2XS4SWbGD4fSo+xBX+89ZfEvlVSZgqYwzTxRy5rrxHSqYlGSriDFPE+ZnqYq3MSJcmudfzMtSsUKc5+ytOr2LI4O+snd/odJg55ZyM2KqqUVbXXfkZToY+mo01b7y+TOedJNMb3yBDEACGIAZEkRYDENCAAQAAxgAAMAzAMBXDUDpsQgLpnZ2CwBcnqbFhZUO4XHqbLKhZCVwuPVfZDILIWXAep7K8hTKmzUGhZDbE6TF3bNtkGVFTbD3bE4Pob8qFkIbYMjO9wFWoyv99/JGDIdPhitTf4n8kWM5XhuGRC5tzSJIiARNMdyFx3AsuNMruNMotTJXKkxphFyZycfV8bT5bHTTOVxGgnUvd6oxnNx18WWqxOaJQqeYnhekmQeFlyn+hx9K9HtG2OLsEsZe/S1jBLDzS3Rgline17Lmyei3Pho75395peL8zmyrwT8MW1/qev6FLqPW2nkbym2Mbp0Z4kpnivMxNiJ6r7L5YlvY24XBX8VTV9OhXw3C38bX4f7nZp0jcxc881ShYbLJ6FE52VzTn2ycUfgS55l8mcw042tfT3mW5l1k4AABFIAbFcBiYgAAAAAAABgNDASiSshDAAAAOgAAaYACABgIAGAgAYCABgIAGAgAYxAAzocPfgf4n8kc424NtRdoyavulfkixK35hpmbv7bpr1TQ1iI9UXbGmq47mdVV1JqYTS1MdyrONSKLbjTKsxJSCL8qVrySfQHHmndeRXdN3vZ7X6kqUbKeqaexrjSppmPiDinFydjUmZeI0s0Y+TM1ce2SM4t2Uv0YpySV29C3D4b3LrzOvguCRqK9WPh5RZmTbdyeOxeOz3ir5fmYnbkj1/Euxq1lh5O33H/RnArYKVJuMqeWX+rcXGtbjHHDSfKy82RnTUdM2voalhPMn3Nlaw9U9nPSJ0aTlNR6/I0uCXIvwsUm36Iep7OjhqaVjbokc+nVsXqsHPKI1panNxmIsn+hor1d/1ORiamaXkjNrpjFTd3dhcQEbNMZEaYAxEhNAIAAAAAAAAaAaGSUB5BsQGWKA8hNrpXYLFmUMo2aagADbmAAAAAEAwEADAQAMBAAwAAAAABnpOzivQl+Y/2xPNHp+zS+on+Y/2xLj2zl06TpRe6RXLB03vCPwNOULHTTnthlwqi/5EvTQqlwWnycl7zp2CxNL7VyHwbpUl77MrfCavKon6o7dhjR7VwHw+uvuv9CLw9Zb0/gz0NgsTR7PNt1FvTl8AVfrGS9zPSZROkuiGjcefjiF1LXOMlbd9Edr6ND7q+BKFKMdVFL3F0m4zcP4btKa9F0OulYrhUTLDUagKMVg6daOWpBNfqjRcCq8rj+zco3lReZfde5wqtJwbUotPo9D6OZcXgKdZWnFPz5k0mnzuUbkVPJfpzR6HiPZycLypeKPTmeexEHF2kmn0asSkSWJj1FLFrkzFKmEaa5s4urVOpeLZhaNVR+FW2KJrS/nYfBvlWA0NojSIAADTGRGmANCJCaAQAAACAAL4k0V03oWGWkkMiiSABEhEVcAgOriYgAAAAAAEADAQwAAAAAAAYCGAHruycb4af5sv2xPInrOydRdxOPPvG/8A4xNY9s5dO5kDuyYHVzV90Lui4AaUd0LujSANMvdh3ZpsFiaNM2ULGnKLINGmewpGjIRlTBpTFl0Ji7sFAItUhlaRJFa2kAgCgxY7hdKurTgr9eZtADw3E+y9SneVJ549OZ5+rCUHaSafR6H1hnO4hwejXXjgr9eZi4tTL9XztawXqVVHol7z0HEezlSipd2s8d11PPzpSTtKLT81Y52abiCGDg1uhGWjIjGBEAABpjIjuANCJABEB2EBZTZciinuaYxJVhpEkFhmVJoRITCpgAHVxACAAAAAAAAAAABgAAAAAAMQAM73ApWpP8b+SACxnLp6TC4nMrPc1IAOscoAGBWgAAFAAAAAAAAwABAABAAAAAAAAgABAABCaOdjuD0qy1jaXVABB5Dj/CZYeKk3eLlZetn/AGOIgA45Tl3wu4YABloEQAAAAAdx3EADEot7AAGmlRtq9y5IAMtHYAAihoiwAD//2Q==" width="304px" alt="ai chatbot saas"/></p>
<p>
<p>If you become a partner, you will not have to worry about hiring artificial intelligence experts to develop and maintain your client’s chatbots. Instead, our professional team with several years of industry experience will be at your disposal. You only need to pitch your clients a chatbot as a SaaS offering to help them convert better, and you will start seeing your profits going up exponentially. As you expand your services, your chances of increasing the profitability also increase.</p>
</p>
<p>
<h2>You are unable to access getapp.com</h2>
</p>
<p>
<p>Our team integrates NLP capabilities into your chatbot for effective user input understanding and response. Based on our review, we have prepared a comparison table that will give you a fair idea to choose the right chatbot platform that will meet your business requirements. The pricing starts at $600.00 per month, but the price can vary based on the integrations, features, and customization that you would like to have.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp" width="307px" alt="ai chatbot saas"/></p>
<p>
<p>It has a safety filter to remove offensive content, although it may accidentally treat normal content as offens.. It has a feature called Supercharge that enhances UI for faster response time and direct connection to OpenAI API for quicker responses. CareerGpt.ai is an AI tool that helps high school and college students, as well as job seekers, explore career options they may not have previously considered. The AI tool allows for the creation of fully custom interactive web pages and chatbots using OpenAI&#8217;s chat GPT text generation model.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/2022/06/logo.webp" width="304px" alt="ai chatbot saas"/></p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What type of model is a chatbot?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>Presentation. This work tries to reproduce the results of A Neural Conversational Model (aka the Google chatbot). It uses a RNN (seq2seq model) for sentence predictions.</p>
</div></div>
</div>
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<div data-counters='1' data-style='square' data-size='regular' data-url='http://www.isarc47.org/chatbot-saas-the-complete-guide-2023/' data-title='Chatbot SaaS: The Complete Guide 2023' class='linksalpha_container linksalpha_app_3'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div><div data-position='' data-url='http://www.isarc47.org/chatbot-saas-the-complete-guide-2023/' data-title='Chatbot SaaS: The Complete Guide 2023' class='linksalpha_container linksalpha_app_7'><a href='//www.linksalpha.com/share?network='facebook' class='linksalpha_icon_facebook'></a><a href='//www.linksalpha.com/share?network='twitter' class='linksalpha_icon_twitter'></a><a href='//www.linksalpha.com/share?network='googleplus' class='linksalpha_icon_googleplus'></a><a href='//www.linksalpha.com/share?network='mail' class='linksalpha_icon_mail'></a></div>]]></content:encoded>
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		</item>
		<item>
		<title>Google Supercharges Bard Chatbot With Gmail, Maps, YouTube Integration</title>
		<link>http://www.isarc47.org/google-supercharges-bard-chatbot-with-gmail-maps/</link>
		<comments>http://www.isarc47.org/google-supercharges-bard-chatbot-with-gmail-maps/#comments</comments>
		<pubDate>Mon, 12 Dec 2022 13:45:32 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11726</guid>
		<description><![CDATA[9 Best Twitch Bots Ranked! Complete 2023 Guide The BBC is not responsible for the content of external sites. In the biggest U.S. antitrust case in a quarter century, the U.S Justice Department is alleging Google has created https://www.metadialog.com/ its lucrative search monopoly by abusing its power to stifle competition and innovation. Google contends it<br /><span class="excerpt_more"><a href="http://www.isarc47.org/google-supercharges-bard-chatbot-with-gmail-maps/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<p>
<h1>9 Best Twitch Bots Ranked! Complete 2023 Guide</h1>
</p>
<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="stream chatbot"/></p>
<p>
<p>The BBC is not responsible for the content of external sites. In the biggest U.S. antitrust case in a quarter century, the U.S Justice Department is alleging Google has created <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> its lucrative search monopoly by abusing its power to stifle competition and innovation. Google contends it dominates search because its algorithms produce the best results.</p>
</p>
<p>
<p>For additional options, you can easily integrate apps into your chat. Alternatively, you can set up Twitch channel rewards where your viewers can remind you to stay hydrated by spending their loyalty points. Many Twitch users take this role seriously and have a lot of fun with it. If you already use Streamlabs OBS, setting up the chatbot or cloudbot is extremely simple. You can quickly make changes on the cloudbot mid-stream to integrate new ideas to keep your audience entertained.</p>
</p>
<p>
<h2>What are plugins?</h2>
</p>
<p>
<p>Since your Streamlabs Chatbot has the right to change many things that affect your stream, you can control it to perform various actions using Streamlabs Chatbot Commands. For example, you can change the stream title and category or ban certain users. In this menu, you have the possibility to create different Streamlabs Chatbot Commands and then make them available to different groups of users. This way, your viewers can also use the full power of the chatbot and get information about your stream with different Streamlabs Chatbot Commands. If you&#8217;d like to learn more about Streamlabs Chatbot Commands, we recommend checking out&nbsp;this 60-page documentation from Streamlabs. Streamlabs offers streamers the possibility to activate their own chatbot and set it up according to their ideas.</p>
</p>
<p>
<ul>
<li>Google also updated Bard’s underlying A.I., Pathways Language Model 2.</li>
<li>But when the dance between platform provider and plugin developer works, it&#8217;s magical to behold.</li>
<li>This bot is for advanced users who have used bots before and understand how they work and how to integrate them into your stream.</li>
<li>“It’s neat and novel, but it doesn’t really integrate in with my personal life,” Mr. Krawczyk said users had told the company.</li>
</ul>
<p>
<p>For example, you could create a custom attachment for allowing users to select a date. The&nbsp;React Chat tutorial&nbsp;shows an example of how to create a custom attachment. Most chatbots offer similar features at this point, which means you <a href="https://www.metadialog.com/blog/streamlabs-chatbot/">stream chatbot</a> can happily use any  of them. Choose one that is relatively easy to use and that gives you the features that work best with your community. Their automatic ranking boards give an incentive for your viewers to compete or donate.</p>
</p>
<p>
<h2>Streamlabs Chatbot/Cloudbot – Most Popular Twitch Bot</h2>
</p>
<p>
<p>Our app notifies of new messages and has&nbsp;text-to-speech&nbsp;alerts. We use multistreaming and chat every time we stream, at least once a week. While many compare the bots, ultimately the choice is up  to you in which product will better help you entertain your viewers. Although there are some occasional issues with the platform, it interlinks with&nbsp;OBS and Streamlabs&nbsp;and has very good support.</p>
</p>
<p>
<div style='border: grey solid 1px;padding: 10px;'>
<h3>Ross Video Offers Immersive Product Showcases in New, Larger &#8230; &#8211; TV Technology</h3>
<p>Ross Video Offers Immersive Product Showcases in New, Larger &#8230;.</p>
<p>Posted: Fri, 15 Sep 2023 18:30:52 GMT [<a href='https://news.google.com/rss/articles/CBMibmh0dHBzOi8vd3d3LnR2dGVjaG5vbG9neS5jb20vbmV3cy9yb3NzLXZpZGVvLW9mZmVycy1pbW1lcnNpdmUtcHJvZHVjdC1zaG93Y2FzZXMtaW4tbmV3LWxhcmdlci1ib290aC1hdC1pYmMyMDIz0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>Once the bot is integrated with your channel and game, users can activate events within a game by subscribing to your channel. Nightbot has a feature that allows you to protect your viewers from spam. If there are disputes (or you want to re-read chat), you can search past chat logs. Regular viewers (which they list for you) can be exempted from the spam feature and you can give them more access to available commands.</p>
</p>
<p>
<p>Historical or funny quotes always lighten the mood in chat. If you have already established a few funny running gags in your community, this function is suitable to consolidate them and make them always available. In the chat, this text line is then fired off as soon as a user enters the corresponding command. In the dashboard, you can see and change all basic information about your stream. In addition, this menu offers you the possibility to raid other Twitch channels, host and manage ads.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="https://www.metadialog.com/wp-content/uploads/feed_images/how-to-use-ai-in-customer-service-3-use-cases-img-4.webp" width="305px" alt="stream chatbot"/></p>
<p>
<p>Even though people in more than 200 countries and territories are able to use Bard, Google is still calling the tool an “experiment,” rather than a full-fledged product. When Google has high confidence in a claim and can support it with evidence, it will highlight the text in green and link to another webpage that backs up the information. When Google cannot find facts to bolster a claim, the text is instead highlighted in orange. I would never use ChatGPT as a substitute for reading all the background information on a project I&#8217;m tasked with investigating. But much of the analysis I do for my own learning process requires a lot of very tedious clerical work to construct tables and charts to increase my understanding of relationships within documents.</p>
</p>
<p>
<p>Some of their special features include a gambling system for viewers to play with their loyalty points, several game features (slot machine, magic 8-ball, Russian roulette) for your channel’s watchers. You also have the option to allow them to pretend to  kill each other or themselves in humorous ways. A very unique feature that Wizebot boasts is its special integration with the survival game, 7 Ways to Die.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="306px" alt="stream chatbot"/></p>
<p>
<p>And Google is letting users share Bard conversations with one another, so that they can see the responses and ask the chatbot additional questions on the topic. Fundamentally, plugins are separate chunks of code that interact with the parent software platform. They do this via an API (application programming interface). All platforms that support plugins provide APIs that allow outside programmers to hook into the functionality of the platforms. Since introducing Bard in February, Google has been gradually adding more features, including the ability to generate and debug code, as well as create functions for Google Sheets. Google recently added support for Google Lens in Bard, letting you use the tool to brainstorm caption ideas for a photo or find more information about it.</p>
</p>
<p>
<h2>Command/Timer Variables</h2>
</p>
<p>
<p>Google is making some other notable improvements to Bard, too. That includes a new way to double-check Bard’s answers through the chatbot’s “Google It” button. While the button previously let you search for topics related to Bard’s answer on Google, it will now show whether Bard’s answers contain information that Google Search corroborates or contradicts. When the user submits the message form, we’ll call this function to send a message to the channel. In the preceding code, we added an input form that captures the user username.</p>
</p>
<p>
<ul>
<li>You can set all preferences and settings yourself and customize the game accordingly.</li>
<li>I can switch to Advanced Data Analysis if I want to do a more in-depth data analysis project.</li>
<li>You can quickly make changes on the cloudbot mid-stream to integrate new ideas to keep your audience entertained.</li>
<li>In addition to those, there are many other chat commands.</li>
</ul>
<p>
<p>For example, when playing particularly hard video games, you can set up a death counter to show viewers how many times you have died. Death command in the chat, you or your mods can then add an event in this case, so that the counter increases. You can of course change the type of counter and the command as the situation requires. Some streamers run different pieces of music during their shows to lighten the mood a bit. So that your viewers also have an influence on the songs played, the so-called Songrequest function can be integrated into your livestream.</p></p>
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			<wfw:commentRss>http://www.isarc47.org/google-supercharges-bard-chatbot-with-gmail-maps/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Microsoft AI-050T00 Develop Generative AI Solutions with Azure Ope</title>
		<link>http://www.isarc47.org/microsoft-ai-050t00-develop-generative-ai/</link>
		<comments>http://www.isarc47.org/microsoft-ai-050t00-develop-generative-ai/#comments</comments>
		<pubDate>Fri, 09 Dec 2022 08:54:46 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11333</guid>
		<description><![CDATA[Microsoft Azure enlists generative AI to help Pentagon look for satellite imagery Microsoft recently added support for building and using vector indexes, allowing you to use similarity searches to rank relevant results from your data and use them in AI-based applications. That makes Azure Cognitive Search an ideal tool for use in Azure-hosted LLM applications<br /><span class="excerpt_more"><a href="http://www.isarc47.org/microsoft-ai-050t00-develop-generative-ai/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<h1>Microsoft Azure enlists generative AI to help Pentagon look for satellite imagery</h1>
<p>Microsoft recently added support for building and using vector indexes, allowing you to use similarity searches to rank relevant results from your data and use them in AI-based applications. That makes Azure Cognitive Search an ideal tool for use in Azure-hosted LLM applications built using Semantic Kernel and Azure OpenAI, with Semantic Kernel plug-ins for Cognitive Search in both C# and Python. You share with your team that today, stable AI models are regularly put into production and used commercially around the world. For example, Microsoft’s existing Azure AI services have been handling the needs of businesses for many years to date.</p>
<p>The webinar titled &#8220;Generative AI using Azure OpenAI&#8221; aims to explore the transformative power of generative artificial intelligence (AI) and its application within the Azure OpenAI platform. Attendees will gain insights into real-world use cases, ethical considerations, and the practical implementation of generative AI using Azure OpenAI. Join us to uncover the limitless possibilities of generative AI and learn how it can revolutionize various industries. This course targets software developers and data scientists who require large language models for generative AI tasks. While some programming experience is recommended, the course is designed to be beneficial for anyone interested in comprehending how the Azure OpenAI service can be utilized to implement generative AI solutions.</p>
<h2>Who Should Go For This Training?</h2>
<p>His ability to see things from a strategic perspective allows  Tom to architect solutions that closely align with business needs. Microsoft Azure Government maintains strict compliance standards to protect data, privacy, and security and provides an approval process to modify content <a href="https://vimeo.com/user181851540">Yakov Livshits</a> filters and data logging. By completing this process, customers can ensure no logging data exists in Azure commercial. Microsoft&#8217;s Data, privacy, and Security for Azure OpenAI Service website provides detailed instructions and examples on modifying data logging settings.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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ZysqXlfsxlS8r9mOODkn8dTe4eb4ZG9w1+GczKl5X7DKl5X7DjhN5/HT3uHmfsRvcNWc3Jl5WWKex3infwE0rH2ReZ+lre4a/BG9w1fsc7JloycmWg0g3n8X97hqxvcNWUY7NNtKMW2+CSV236HpOyfsXWqNT2n/AAoc8F71JfsajxZ+GbeXX5Udjpyryw0YSm/Gy4L1fgeh2TsGdFqpUab42S8PzPSbBscNngqdKKjFc0lbib9op44O33lxWl/2PTTw1rOZeW/+i1uocylTVsMuKZze1uz3hfitdf8Ac60Y342s+TT5p6GTd001dPmmdvJ44vH9c/H5Jp/x89zHCTT8ODN9OrfinYv/AGi7IdP/ABoJum+En4xfhf8Ac40UeSYmvUvVExPcL9XbZJXlPgivQ2neJ5ab4uy6lXbPuW1Lv2W2dutGfgn/APJaVi04ZtaYXJfZ+s/+Hhmurwv5MX9nNrtdU4y/01If1Z6nsvaadWU5U28KlazVnFrmmjpZV+XA6z/no5/+i75ptexV6P8AxKFSK1tde64FLeYn1mpDk9OD9Dz/AG19kKO0SlUpPJqO7dleEn1Xh6o5z/nj6br/AKJ+3hd5Q3lEbZ2fUoVZUqitKPs14NaplfKZx0iHfeVjeUStoWhWymbaNLhxXG41g2lujXvwRf2Pb6lK7jJpvxRu7K+y+01XiccuD+7Kpwv+XM1drdmS2WooSlGd1dOP9TVcR8Od8z2ja9tlUd5O7KFSVuJ032FtWBTyZuLV01x4ehytqpyi8Mk4yXNNWaLMsxE5YvaSHtCNOAYDGsO20tueid4WhowjCXWE2lue0LQLaOhowmUI8BrCxaW17R0I3joapLiRYawm9m7eOhGcarCxdYN7NucRmmqzFhiE2ltzSM012FhiDeWzNJVQ1WJiMQRacu9kDIKi7TXl+Q+015fk8+lnpzVbyQqJT7yXl+R3n+H5Gljaq5kjJKfen4fkd6fh+RpZNqrmSRlFPvP8PyO9H5V7jSxtVcyVw9UzKUE0Ue9X5UH2o/KhpY2quZQySl3m/KvkjvJ+VfJdLG1V3KQykUu8n5V8kd5S0XyNLJtVeykMpFHvKWiI7yn09hpY2qv5SGUih3lPp7DvGfT2Gljaq/kolU0laxzu8ZaL2HeE+nsNLG1V/JiZR2dNpLi3yS8Tnd4z6ex6L7MKVRSqvDi5RxcLLxf9DVfFa04Zv5K1jLudhdj5STSSm19UvH0R3pxUVf8AK7OZTr7VD/lU5x0jO0vyurfJ0Nn2uFVOLTUv4oTWGS/LxXVcD6MRrGIfMtabTmUyT5+P6m2LKkqFSlLFTvUo+MOc4dY6roWoSTSa5PxE9stVal/HFcf4lqtfVf34GEUmXEipXiqbvyi/ZFrP0MMtcU0nFqzT5NHj+0tgoZst1mml96H8Kf4ZeJt7Y7aqbVPd9kUnC9pSiuNTp0j+ppdPadjpyhOH0VIrFKKxK2jfgLV2brbVxtqoPFJNcUuXU69CW57NJf8ANSjhWs2uHtf4Ol2JR2Wu4pxlnRtJ3+42n4HQ7Qp0qs3gip1ILi1yjhd0vW5z8dJiZy6eS8TjDT9k+z509nnOq/rqyx87v1fV8T0FPiuphQglH6VZPj+b4m1KzudJcB6PxCVrf3wMpq6MYu6MjzP2s7NzKcasY/XSTxaunf8Apz/NnjstH1KvBNSUl9MoyT9HwsfPJdg1IbZOlUbVCEk8zxlB8rdddDz+enez2/579ayr7F2dOvUVOlG8vHRLVs9hsnZGz7DTzKmFz5ucly/0rwOl2ZstKlSUaCSja9/Fvqzndo9kuvVTr1LUY8cEeDk+r8F/fA8mXrj5cnb/ALS1a2KOzQbinbhFyl8GVPsqhtVGNSVea2lxWJythUtMOiOtPb40rUdmp3t92FNeH9+LPJ9ux2mhtDqzShmfUlF3SaSvfqbr/GbdR7Og+1Nr2FRp1lip8o1I3akv3LdWpQ2+k3O0aiV4zXNf7dDV2N9oIVoZNdRaas1JXTNe29lxpf4uzf8ADveUU72v4roSVj+fDz1Wlgk4tcU7Gqxe7foS+ivH7skoy6S8Pj9Di5jNRWZYm0Qu2IdinjZGNl0TeFwWKeNkxbY0N4W8IsU3JjEXQ3hbVtCbIpYmMQ0N4XLIxsiriGIam8LLSI4FfEMRdU3hvsLIr4iYsakXhZ3KfT3G5T6e521FafoMK0OPLLrxQ4m4z6e5O4y1XudnAhhXQcsnHDjbjPVDcZao7OBahQWo5JOOHG3GWqG4y1XydnAtRhWo5JOOHHhsTUottNXV0Wdo2OLj9KSd1xL+X/dw4k5JOOIcfcH5kTuD8y9jrKFvD5JuupeSTjhyNwfm+BuD83wde6Juicll44cjcH5vgbg/N8HX4C6HJY44cju9+b4Hd/4n7HXuhdDksccOR3f1fsW6NC0EsPhoW3IjH1G8yaRDl939X7HrOxqapqMF/Dw/Px+Tk05LEvVeJv7O2tqpK/Nyb+T0eC057ebz1iI6e0oT4LhwLOGnU4PmuXhJej5o5/Z9eM19D4rnF8JI6GXGX3lx15NHtl4WOOVJ2qO8PCpyt0l+/wCglUwVUv4KnxP/AHXyupnhnHxxw8U+dv6nO2yapQa45Lawv+KjO/D/ALb8upIjI68TGrSjOLjNKUXzTV0zRsW1KrTjNejWklzRaMz0NFPZYQVoRjFaJJGTpeDXA2gZkw43aGyPLydmjGnKV+MUo4V48v74jsbsjd4Si5YpSjZ+CLNZpbRD8Skvz4P9Is0bd27s+zVMFWTx2TajFysnqbmcHfwu7L9xei/Y3or7K00rO6abT1VywS3yjGcmrEWs3pzJq+HqTPl+QFarUWNJv6YrFL0V/wCqOBtW0OpNya5vlovBHU26TlG0eVlfr0ODtM8H9FqzyefyRM6w9/g8c1jaXR2TtOFNYHw06mE6tTaHfEoUlzl4/kedqwvLHP6nodGG1TrQULYILneyR58PRFluv2tSoLL2eLc2/wCH6pzl+rIVCE4LvFWlU400pNSp9NLlF9pUNkTVGOKq/vVHxk/TRdEU9p2HatujGuqtK3HDBycZJ+3P8zUQkz03bd9m8MszZKmbbjlv6Z28beDLexTrUrKpCSi/Mjl7Otu2Z2qUqlvB4XJe64HpNj7TVSGDaIOPVrl6ic/ZXH05X2np32anlq0HP6kvTgeV3d6HY7X7R/xZ0lK9OMuFvE5u8x6iM/RMRMtO7sbsza9pj1I3mPUubJirVuzMoUGjPeY9SFtEeozZMVa5bPxG7P8AtGzeIjeV1GbGKtW7Mjd+pte0R6+5G8IubGKte7sxyWbs9EZ6GbJirVksZLNmciM5FzYxVrySVSZnnIZqGZMVTvlTzP3I3yp5n7l7u+Oj9ye7o6P3M7UaxdQ3yp5n7sb3U8z92X+7o6P3Hd0dPkb0NbufvU/M/djeZ+Z+7Oh3fDT5I3GHl+WN6mtnP3ifmfuyN4n5n7s6W4w8vyxuMPL8sb1NbfrmqtNtJN+7Nk8yKu1JL8y/HYopppcU0+b1N9aipRs1dDeCK2/XEzpav3GdLV+51Nxh5f1G5Q8q+RvU0t+uXmy1YzZanV3KHlXyNyj5UOSprb9crMepGN6nW3KPlQ3OPlXsOSqa2cnG9RjZ1tzj5V7E7nHyr2HJBpb9cfEzfDZ6jimlwav4HR3SPlXsbqdK0UtBPkj6WKT9uLs82qkHpKP6ncqfTVxR8eJpWyR8q9kZqX0Rl4xlZnSlon4cfJWY+Xo+zlCvFSj95eV2nBnYoTrx5SVRaTVp+6PK0tnmmqtCWGa+TtbJ27ONltVGSt/zIK6/M9dZeS0O3Db7ffpzj1tiXujOc6VWLXCSas106ox2TbqNVXp1E+nJlmVCEucVfXxHUMODsl9l2lwvehVf0Pyy8r68zuqRT27s1Ti0nZtcHo/Ay2WpKUFjVprhJaSRqcSi3iInJ2duZgmS2Zwrg9sdobsoznGUm5xw4Vo+Kv4XTa/M8Z2xtVWttM6lWnKDla0HzStwXsfR9rUXFxklK6vZq/FcV82KnaPYNPasEl/hzjwcrYsSF4y1WcLHYsHHZqCk7tUoXf5IvNmuEcNo6RsJTSXH8tSslWasa60m0vBfqRGLbu/Y2VeRy88Tr6u/+fXftSrK64HC2tSu+HHV+CO9WqRgryaUfG5xalOe2za2dWpXtKrL7v5anhpWZnEPoXmIjMuFtFSMW7zu+hRlXk28Lsj3uw/ZnZqSvKGbPzVOKv0jyOF9pOwsqpKvSj/hTd5JcoS/Zne3imsZeavlra2Hj6qk5PmbaO01ofdbtoW3QRlS2VSkl7+hzi+enWa47dPZPtBXpwi5O91e2hPaP2ge0UcvAoyuryXM49R/XUT8Juy0REWr8eRbR2lbTMKu10JKd7cJJNPXwfymaMt6HZyr0LvwqK3S8byXukV3QRbW16Stdoy52WxgZ0MlEZKJyLxue4MzpQ4O+pcyUSqSQ3NO1CUeLMcLL7pIZSG5xqGFizL+UiMpDdONRsLF10UQ6KLuaKZBcykRlIbwmioZQ5FnKRGWi7Gjr71DzIb3Dzo4PHqLPqc+KHXk/jvb5Dzoje6fnRwrPqML0Y4oTk/juPbKfnXyN9p+b4Zw8D0YwS0fsOODkn8dvfafm+GRvtPzfDONly0fsxlS8r9mXjg5J/HZ36nr8Mb/AE9X7M48aMnJJpq7SvZlivsDjG6d+iRNKkXmfp0N/p6v2I7wp6v2ORky8r9mMiflfsXjqck/jr94U9X7Ed40+vscrd5+V+w3eflY46m8/jq940+vsR3jT6+yOXu0/Kyd2n5WNKm8/jpd4w0l8fuR3lDR/H7nO3WflY3Wfl/QaVN7fjo95w0fwO8oaP4OdulTy/KLdHYIuCbbvbjy5kmtYItaW3vOGj+DZSnfGvMrr1XE5sdkndfTwvqi5J2fDn4HSkRHw5eSZn5RPbm7/U0otJW5X8T2XYspOhTdR/W1xvztfh8WPIbOoqcZSSlZ348rns9mqKaTPR4vl5bugtnpvjhVy9R4Ws3bqUqJbo87Pk+Xqd5+HJb5+JWqRwzv4SXH1X+36G1Qa5P8mTKN1ZoxHQ1Im5ESJOxpGtv6uPirFmhNYV04exoyW+Oi/Xka9qpzh/Djh44XZicT0rGl2jRqV3CNRYkrdG7+DNsabxPFzRRntOzVIKGJU5wacYzWBxfQtSq4VijJyXXiiwN8pJLiUNp21I07VtnDnwZxdrqTSUrfTJ2i/Fv0JMxDVYli4T2ra3CtJqlFYsKulJX5XPS0Z4YqMIpJKyS4JI53ZtBU4Xmv8Sf3n+iLVTtOhSeFySfvYUpFIXyXm89urSq3X1K3U1VsMm0pRatazad/yObvGz1H9e0Of4Y4opexvq7Ls8V9NFzfha9/cuHN5rt/sOpSUq2zxvTSblT5yj1jqv0Ofs1Nxg3N/W1y8vQ7e2ba4Y6cU4W4NY3K3Q4lWpaHqcJ8dYtmHpjyWmuJc7bIYp4k7PXU1wpSk0m1ZtLgrt9DdPmZ0Jc7c+XoZmIzmViZxiGHaO04GqcPuq7b4cZPm/hFLe5FnatmTm2nJ8Ffhaz0NG6epwtNc9vRXMR0x3uRG9SM916Mh7L0ZPVfZjvUgtpk/EndfU20aLSat4jNT2y0PaZakbxLU2T2dttmO7Mvqnsx3iWoz5amW7Mbsxmp7MM+WpGdLUz3djIZc1T2YZz1Ga9TLIYyGMwezDNepKqMl0WTGk0MwezvZK1GSjn96/hXuO9fwr3Zw0s9G1XQyUMlanP71flXuyO9X5V8jSxtV0clDKRze9H5V8jvWXlXyNLG1XSyhlI5nestEO9ZaIaWTerp5KJlBM5b7VlovYh9qT0XsXSxvV1MpEZSOX3pPp7DvSfT2Jx2N6uplIZaOV3nPp7DvKfT2Lx2N6urloZaOT3jU6ew7xqa/CHHY3q62Whlo5HeFTX4RG/1PN+g45N6uxgRKikrHFe31PM/glbbU8zHHKclXYwIrbRTtJvww39HdI5+/VPMzdQqynGeJ3thX6/sbpSYlz8lomrZez6M7nYe2ccDfoefcvY20KrTTT4rkz0x1OXlnt9C2eZcpnJ7H2lbRRxL764SXU6VNtLieqO4cJjC/SndX9zXXrN8IJN8rt2S9f2K8q30tw8eF3yVubfoaqVZqMbp4ZN28yik25Pr+5nX7RZpQa4uTk3z4JRXp/uxJRk2m7NNXXTn/RmjY9rw0oOawri0r8rvl1Zm5QqVYzjzUWr8uDa/Ydi2nxitfqf9+xX2vtrZaTw1a0VLyr6peyKe0VsxyTTw2ta/FrrY0UNlpU5KahFS1txJpkZV9roV+ENnq1X4OcHSiuuKX9LlOvtEdmg1aLfNxjKUox6eF2dHa9sppRUW7s5HaE1CGLCnjdoxTvKcui0LPUNRCnDbM6TULvokdClsip/4k3iqW/KPotSey9jVCDc4/wCLPnblFeEUZ7TLhyEV+5Jn6hrqVLxaXOz/ACHZ+y0/GKk/FyV2c/tDapU9nqVI8Glw9W0jXR7SkqSnOOGb5RXP1NbJh6GntFKDwJJePBJGO3dqqlTlg/4jXC/h1ONs9WTlimrWTf5FPbK98N/vSbl6LwXwSbdEQ1ZnCTb42v6tlSrU4dOBnKfGS/IqtnGZdWLLHZsMUpLTi/Q0X4GWwPDVc2/pjFuXpzt8HNtYrTgpyV1wduZhmw8y9zkycpNt3u22yML0Z55pmcvVF8Rh1XVhqvcZ0PMjlYZaMYZaMccLv/HUzoaojOjqjl4XozbQoOSbvazGkG/8XnXjqiM6GqOfUptSa4sxwPRjjhN3Rz4akZ8dTn4HoxgejLpBuv58dfgjPjr8FHA9Bgeg0hN13PiRvESngegwPQaQbytvaIkZ8SpgZnTp8OJdYN5b+756x+Se75ar5OykTZHLkl144cbu6Wq+R3dLzL5OzwHAnJY44cbu6XmXyT3a/MvY690LocljjhyO7X5l7Du1+b4OtdDEhyWOOrlLs5pp3uk1wt1Le0bHGUWkknw4pFrGg6g3saQ5fdn4vgd2fifsdPGunuMxar3G9jSrm92fifsO7er9jo5kdV7jMjrH3Q3saVc7u1av2J7tWr+C/mx80fdEOtDzR90N7GlVHu1ay+Ce7VrL4LufDzR90RvEPNH3Q2saVU+7Y/i+C3RouMEtBvMPNH3G9Q86GbSusQq93R6+6J3eNNSXHjh6+Ysb1Dzo1VakZJu/C9k+qS/c3S1s9ufkrGOleyIwpcuBiZNnpicvHPS92X2lOhUU4P8A1R8Gj1Ee3oVeC4PxTPDx53LWz18LujUWmEmMvc05ynGnTT+h/VPqtC1DaFOCilxxNX1XH+hS7PqLd838CsbeympQxJ8IuV/Wx6XCWUop0oapIqy2ydLE6aUuFuJbjxjb0RQnUSlJc3e9teAkhhsW13bdWVr9DLau0GmlTafhblw1OZV2yKxWjbj19jDZKU53y01F/eqy4/lFGNvqG8fa/V2udWOVCMXKVm4pafxOX8K/UsUuzlSnTxSx1fGXhFaRXgbtg2JRpN02k/G/3pO/PqSk81Ju7SLEQkyuRZz9tqXlbwLdSphTbOHX2lud3yNWnCRDX2hZ02mr3tw5cU7plKlFWeJ+F/G5t7U2pQjG/izlvtGHX4PJfyTF/wCPVTxRamft2NjanB2ul435W8Tl7VV+tTXK7a9DRT2pYXGMud+nAxnK8UtFY6b5hy1mJTj43MTGJkc5luIEbNnoOzk+DlbhovA0uvGD48XoZ94ry/JxvM/EO/jrHzLfkkZJofaK8vyR3gvL8nLWztmFjJIySu+0Pw/I7w6F1sZhvyDKFK1+pV7w/CFt9/BDWTNViVFXIyEV3t/QjfnohrZM1WMhEOgivvz0RG+vRF1sZqsOgiMhFffHoiHtb6DWyZqsZCDoor72+hG9SLrYzCxkoZSRWe1SC2mTGspmqN5n5pe7I3ifmfuyxt1OFLDaPFu74t8DVWnTcnKEMMHxUb3t0NxiYy52vNZwwz5eZ+7Izpav3J+kWiXEJyIzZasjNlqzPDHqLR/tIYORhmPUjG9TdddPZE4lpH+UYN/60KUm0lzfA3VdnqRjikrL8jJVF4KN/wDSXKO0ZjwTwu/Ky8VxJOYaraJ6y5WJjEzubpHyr2J3WPlXsjHJDpxz+uFiF2d3do6L2RK2aOi9kTlj8Xjn9cG4ueg3ZdPZDd10+BywccvP3B6DJX92DoocsJxy8+7lqjsMpRUlJcfU62SZQpJK1xPkWPG89Z9TdKLyYKz4ym/hI7OUtTGEE2+Ov/7Nf0LHkyzPj+HLg3ZX5mUTOsm5P1ZMY2O8T081vlGExvY2GDRWJdfs7tvBs89nnG8W7xadnF6ehs2ftOVOcnCTUJ2xJHCsZxm0b2lMQ9vHbYqCkpK1uJ5/bdslKbceTbObHaHqza6rlzLNpkiIhujLFJOd2r8fA9dQnTdKLppKCVktOh42ErFyhtEo8V+a8GKWwWjLtR7QVNtWvaUrP1d/6lnYaqlKVSXC/geZntrcm4pW0Zb2btGy+7x+De/bOvTu7bWxqyVl+pyKyV7MrVu1anHl7FB7TNyvd8TM3iVijHtqEpuEYq+FNv8AM5e51PL8o7kbNJvmS1E8VvLOXup4/WHC3Kp5flFzZdnk4tSf1J+vCx0bIXXgjPJLXFDnTpST4JPrexhOnUfLCvzudOyIshyScUOPuU9V7jcZao7DsOGhOSV0hx9xlqvkbi9Uda6I4F5JNIcvcX5l7Ebk/N8HV4DhoN5TSHK3J+b4N+y7KkpKSTd+duhe/IjEJvK6Q51bY7yduC0sYbk9fg6mIYl0G8ppDmbk9fgbl1fsdHGuhGNdBvJpDn7l1fsNy9fYv41qvcxdRaobyaQpbn6kbn6l7MWq9zF1Vqi7SmsKe6epnRotJq3iWcyOqMXVjqhtJpDm7ZWzKkpeHJehoAO8Rjp5JnM5ZC5iZprxQQuRcyvHqPp6gQpMjEZWj1IaXqBCbLWw1VGeKV+CsvUqNnSn2bhpJ8XOy4GbYxiXTxxMzn8WO8YdfgjvKGj+DmyoyXBqwwJczHHDvPmmHSfaMNH8GMu0Ulwi/coEMvHDnPmt9LMu0Jt6LRcPk3bPU+uDxyy20pNu7i3yv+5zORsp1XF3X5p8mtGa1hzm9p7y7m0xlSbTWLTwuUu8l5fn/Yyn2hJ0knxivu34yUdL+Jqodm1toTqU4xtez+qK4+jZmaQ6U8s/DLvT8Pz/ALDvP8PyZf8A09tPkX80f3LdHsCeBYqX1eP1L9yTSrpF5lR70/Cvcyntrhh4L6o4vdt/1Jf2f2jj9HD1Ml2RWrKMqcbxUIRv1sv3LFaszecw0uo5Wla1zK9z0c+wY3+mMkrclxsVNp7Gmo/4dOo3fjwfE7RTDzzeJlxHtSpzV44l4rUuvtnZX/6aS/74v/8Ak5XaVKUKrhNOMkldPg0VCI7/AHvsv/Qn7x/Yd67L/wBGf/sOASB6DvPY/wDpVfaH7h9pbJ4Qq/yw/c8/cm4Hf7w2TSp/Kv3M49o7LrNf9v8AueeuLkHod92TzTX/AGP9zKO3bJ/1JL/sl+55y5Ka8eXjbmB6LetjfOrL/wAczJVdh/67/wDHUPNtq7s3bwvzsLlHps3Y/wDMv+Sov6DFsb/9V7xqL+h5m4uZxDW8/r01tk/za/8Af+xLp7J/nI+8/wBjzVSm48/HqmYXGsLvb9enydk/zkf5pfsY7vsv+cj/ADy/Y83cDWDe369G9l2b/OQ/8j/Yh7Hs/wDm4f8Ak/2PPW4Xvxvyt4a3A1g3t+vQPYdn/wA5D/yL9jHcdn/zkP51+xwAMQb2/Xe3Ghx/+7hw/GuPwZvszZ/89T/nX7HnRcYg3t+vQrszZ/8AO0/51+xn3Ts1v/zqX86/Y82BiDa369BLsrZ72W20uXPGv2NW1dn0KcHJbVCb4fTCSbZxUiYxu1qx0u1v1k5O74kY3qdaOyrirfCGQrLh8HLeHfWXJxPUYmdnd+hi6HQckGkuRdi7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width="309px" alt="azure generative ai"/></p>
<p>The NExT contract, which was awarded to Ball Aerospace last year, has a total potential value of $176 million and calls for launches to begin in 2024. The imagery could be drawn from BlackSky’s  electro-optical satellite data, or from Umbra’s radar readings. And if the data analyst needed more up-to-date imagery, that could be requested from the satellite through the chatbot interface.</p>
<h2>What you will learn in this program</h2>
<p>Sensa Copilot for financial crime investigators is the first of a series of strategic applications from SymphonyAI to provide transformational generative AI applications across its six vertically focused divisions. The startup’s vector database supports large scale production deployments of real-time applications such as personalization, semantic text search, image retrieval, data fusion, deduplication, recommendation, and anomaly detection. Each of these is a multi-billion dollar market today and projected to grow over 30% year-over-year, for the foreseeable future as increasingly more companies adopt ML technologies and attempt to train their own LLMs.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="azure generative ai"/></p>
<p>Azure also powers OpenAI API and we are pleased to see brands like Shopify and Snap use the API to integrate OpenAI&#8217;s models.&#8221; Ruth Porat, Alphabet&#8217;s CFO, said customers are slowing cloud consumption as they optimize costs. In a blog posting, Kitay said the center can take advantage of Microsoft’s “unique view  into emerging threats,” which involves the analysis of more than 65 trillion threat signals every day across more than 200 consumer and commercial services. Microsoft Azure Space’s partnership with Ball Aerospace and Loft Federal will result in the creation of a satellite constellation that the Space Development Agency and the U.S. Space Force can use to test and demonstrate a variety of payloads and ground systems for next-generation military communications. The project is known as the National Defense Space Architecture Experimental Testbed, or NExT.</p>
<p><b>Yakov Livshits</b><br />Founder of the DevEducation project<br />A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.</p>
<p></p>
<p>But its early investment in OpenAI, an AI lab that at the time didn’t have a profitable business model, has given it the chance to grab a big share of the market for the next wave of disruptive innovation. Azure also offers enterprise-level security features that are required in many industries. And it supports features such as choosing the geographical region of the cloud instance and adding content filters to prevent misuse. Currently, Azure OpenAI Service supports base and fine-tuned GPT-3 models, base and fine-tuned Codex series, and LLM embeddings. Microsoft also added DALL-E 2 to OpenAI Service in October, though it is still not available as part of the public product.</p>
<p>All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps. Azure OpenAI Service brings the generative AI models developed by OpenAI to the Azure platform, enabling you to develop powerful AI solutions that benefit from the security, scalability, and integration of services provided by the Azure cloud platform. The objective is to use aspect-based classification for sentiment analysis to identify the aspects of a product or service that customers are most satisfied with and those that need improvement. This will help businesses understand their customers better and make data-driven decisions to improve their products or services. By improving customer satisfaction and loyalty, businesses can increase customer retention rates, reduce churn rates, and ultimately increase revenue.</p>
<p>The Semantic Kernel integrates advanced AI design patterns derived from the latest research. Developers can enhance their applications using plugins for various capabilities like prompt chaining, summarization, zero/few-shot learning, embeddings, and more. This encapsulation <a href="https://www.wikidata.org/wiki/Q4261115">Yakov Livshits</a> of design patterns enables the infusion of advanced AI capabilities into applications built with SK. This blog post endeavors to conduct a thorough examination and comparison of the LLM (Machine Learning and Artificial Intelligence) offerings provided by AWS, Azure, and GCP.</p>
<ul>
<li>Azure regions in Pinecone will be available for private preview by July 31, 2023, with early access registrations open here.</li>
<li>Generative AI holds great importance for Google, not only for its cloud business but also for its search and enterprise divisions, which rely on Google Workspace.</li>
<li>GPT models have been trained on both natural language and billions of lines of code from public repositories.</li>
<li>&#8220;Together, Microsoft and IBM are collaborating to deliver innovative solutions, that will help customers responsibly accelerate deployment of generative AI,&#8221; said Dinis Couto, GM Global Partner Solutions, Microsoft.</li>
<li>IBM Corp. is partnering with Microsoft Corp. to lend its expertise to enterprises that are looking for ways to deploy generative artificial intelligence and improve their business processes.</li>
</ul>
<p>Complemented by our latest Generative AI Readiness and Governance services, we can guide and empower you on your transformation journey. Finally, IBM is offering an enterprise search and knowledge base experience that’s designed to cater to company employees. In many organizations, employee information is dispersed and siloed and that makes it difficult for employees to find what they’re looking for.</p>
<h2>Course Content</h2>
<p>We collect statistics to understand how many visitors we have, how our visitors interact with the site and how we can improve it. To complete the hands-on labs and the following exercises, you are required to have an Azure subscription that has been approved for access to the Azure OpenAI service. The access approval for the Azure OpenAI Service can take several days to be granted. The Microsoft learning team just put together a learning path dedicated to the AI-050 course in a structured way to help you focus on Azure OpenAI Service. Author of InfoWorld&#8217;s Enterprise Microsoft blog, Simon Bisson has worked in academic and telecoms research, been the CTO of a startup, run the technical side of UK Online, and done consultancy and technology strategy.</p>
<div style='border: grey dashed 1px;padding: 12px;'>
<h3>Microsoft and Epic expand AI collaboration to accelerate generative &#8230; &#8211; Microsoft</h3>
<p>Microsoft and Epic expand AI collaboration to accelerate generative &#8230;.</p>
<p>Posted: Tue, 22 Aug 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMitgFodHRwczovL2Jsb2dzLm1pY3Jvc29mdC5jb20vYmxvZy8yMDIzLzA4LzIyL21pY3Jvc29mdC1hbmQtZXBpYy1leHBhbmQtYWktY29sbGFib3JhdGlvbi10by1hY2NlbGVyYXRlLWdlbmVyYXRpdmUtYWlzLWltcGFjdC1pbi1oZWFsdGhjYXJlLWFkZHJlc3NpbmctdGhlLWluZHVzdHJ5cy1tb3N0LXByZXNzaW5nLW5lZWRzL9IBAA?oc=5' rel="nofollow">source</a>]</p>
</div>
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		<title>Can chatbots make the insurance industry more human?</title>
		<link>http://www.isarc47.org/can-chatbots-make-the-insurance-industry-more/</link>
		<comments>http://www.isarc47.org/can-chatbots-make-the-insurance-industry-more/#comments</comments>
		<pubDate>Thu, 08 Dec 2022 12:10:20 +0000</pubDate>
		<dc:creator><![CDATA[Lukasz]]></dc:creator>
				<category><![CDATA[Generative AI]]></category>

		<guid isPermaLink="false">http://www.isarc47.org/?p=11724</guid>
		<description><![CDATA[Chatbot, Conversational AI, Virtual Assistant for Insurance This also includes using an AI bot to streamline customer care experiences, automation of claims processing, end-to-end resolution of routine queries, etc. For many customers, the idea of long hold times and bouncing between different departments can deter them from engaging with your insurance company. When the majority<br /><span class="excerpt_more"><a href="http://www.isarc47.org/can-chatbots-make-the-insurance-industry-more/">[continue reading...]</a></span>]]></description>
				<content:encoded><![CDATA[<p>
<h1>Chatbot, Conversational AI, Virtual Assistant for Insurance</h1>
</p>
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" width="303px" alt="insurance chatbot"/></p>
<p>
<p>This also includes using an AI bot to streamline customer care experiences, automation of claims processing, end-to-end resolution of routine queries, etc. For many customers, the idea of long hold times and bouncing between different departments can deter them from engaging with your insurance company. When the majority of visitor questions are repetitive and easy to answer, automating your solution makes perfect sense.</p>
</p>
<p>
<p>That’s why customers consider Click4Assistance the best live chat provider in the UK. This chatbot doubles up as a Financial Guide to assist users in choosing the best plans and solutions for them. The bot is available 24×7 for users and is capable of addressing routine FAQs in addition to answering queries related to policy details, requests for premium receipts, fund value, payment history, annual premium statement, among other things. Singaporean fintech firm Pand.ai recently unveiled GINA.sg, an English-Chinese <a href="https://www.metadialog.com/">https://www.metadialog.com/</a> bilingual digital insurance Whatsapp chatbot that helps car owners in Singapore to find the most competitive vehicle insurance that fits them the best, according to media reports. The company has partnered with three major insurance companies, namely, Allianz, Etiqa and MSIG, and they are offering digital brokerage services for general insurance under the Monetary Authority of Singapore’s (MAS) fintech Sandbox program. In addition, machine learning allows bots to respond to a varied amount of queries.</p>
</p>
<p>
<h2>ChatGPT – to err is human</h2>
</p>
<p>
<p>This is where blending service and process automation with live advisors can offer an instant and enhanced service whilst delivering a personalised experience. A chatbot is there 24/7 to automate FAQs and administrative tasks from customers about insurance coverage, premiums, documentation, and filing claims. The chatbot can also take up customer onboarding, billing, and policy renewals.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>Is Alexa a chat bot?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>Alexa is formally a chatbot.</p>
</div></div>
</div>
<p>
<p>They want Johan Helbotti to greet their visitors in the same unique way any of his human colleagues would. When it comes to customer service, Väre wants every service they offer to reflect their distinct personality. Their services include electricity packages with multiple pricing options, turnkey solar panel installation services, electric car charger installation, and special offers for customers who want to sell their generated electricity back to the grid. They’ll also package home key insurance with any of your electricity contracts. The utilization of&nbsp;chatbots for&nbsp;insurance&nbsp;has undoubtedly gained momentum in the last few years. Data from Google Trends shows over the last five years, search volume around “chatbots for&nbsp;insurance” grew 19x as individuals and businesses began to realize their value.</p>
</p>
<p>
<h2>Automated Insurance Agents, at the Customer’s Beck-and-Call</h2>
</p>
<p>
<p>And each decision tree leads to a relevant page, so customers can start a buying process, for example, with a human advisor after qualifying their interest. He has&nbsp;his own Twitter&nbsp;account, answering questions like “do you have a girlfriend” (he’s <a href="https://www.metadialog.com/blog/insurance-chatbots/">insurance chatbot</a> looking for his true love, send tips). Väre chose LeadDesk because their chatbot has the ability to customise brand messaging based on brand personality, and easily build a front-facing chatbot personality that reflects your brand values.</p>
</p>
<p>
<div style='border: grey dashed 1px;padding: 14px;'>
<h3>Top 5 AI Trends in Insurance and Finance Industries &#8211; AiThority</h3>
<p>Top 5 AI Trends in Insurance and Finance Industries.</p>
<p>Posted: Mon, 28 Aug 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMibmh0dHBzOi8vYWl0aG9yaXR5LmNvbS9tYWNoaW5lLWxlYXJuaW5nL21vbmV5LW1lZXRzLW1hY2hpbmUtNS1nYW1lLWNoYW5naW5nLWFpLXRyZW5kcy1pbi1maW5hbmNlLWFuZC1pbnN1cmFuY2Uv0gEA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>
<p>They can then directly solve a customers problem with information, or understand their issue and guide them to the right department. These conversational chat bots are often used for over the phone customers, or apps, Whatsapp, social media and Facebook messenger users. The CoalitionAI features uses a combination of proprietary technology, large language modeling, and generative pre-trained transformers. In a statement issued by Coalition, the insurtech said it had plans to introduce additional AI capabilities to support its Active Insurance offerings, including Active Risk Assessment, Active Protection, and Active Response. In the coming months, Coalition brokers and Coalition Control users will gain access to additional AI-driven tools that will strengthen the quoting, underwriting, and incident response experiences. Technologies like large language models, which facilitate natural and personalized interactions, are expected to advance further, improving the customer experience and personalizing it.</p>
</p>
<p>
<h2>US vs Google: The trial that could change the internet forever</h2>
</p>
<p>
<p>The Aviva Community Fund offers support, advice and funding up to £25,000 for community groups across the UK. Pick the product you need help with, and we’ll be able to give you the contact details you need. Whether you’re due for renewal or just not sure you’re getting the best deal from your current broker, let us know. We’ll work completely confidentially to review your potential exposure and let you know if we can help you.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width="309px" alt="insurance chatbot"/></p>
<p>
<p>From back-office tasks to handling customers, virtual assistants, a.k.a., chatbots are innovating the Insurance sector by leaps and bounds. From shopping for – and even self-servicing aspects of – insurance policies online to comparing policy quotes and prices, customers have evolved, and so have their expectations from the insurers. In fact, data by Cognizant claims that 64% of users say that the best insurance chatbot feature is the ability to contact customer service 24 hours a day. In summary, AI-driven chatbots and virtual assistants may offer a user-friendly and efficient way for insurance brokers to engage with customers, provide instant support, and guide them through the complexities of insurance. These tools enhance the customer experience, save time, and contribute to the growth of your business by increasing customer satisfaction and loyalty. The use of artificial intelligence (AI) chatbots is poised to greatly impact the insurance industry.</p>
</p>
<p>
<p>This conversational AI platform lets you transcribe recorded conversations and draw insights to identify trends to significantly enhance your customer support and overall customer experience. Now that you know how conversational AI technology is transforming the insurance sector, let us show you why iovox Insights is the only artificial intelligence solution for your business needs. Additionally, an insurer using AI technology can improve the customer support provided by a human agent. With conversational AI and machine learning, customers who wish to purchase an insurance policy, renew an insurance policy, issue a claim, or pay a premium can easily do so. Customers can converse with life-like digital humans or with animated avatars that increase customer engagement and offer more personalised experiences via a browser on a mobile, tablet or PC.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="insurance chatbot"/></p>
<p>
<p>Online insurer, ConstructaQuote.com, has developed the world’s first-ever Chatbot for business insurance, the company has announced. The chatbot has a number of phases to go through before it fully can be used to answer customer calls. So far they’ve been surprised to see people interacting with bots in an unmistakably human way — even thanking them for their help at the end of a conversation.</p>
</p>
<p>
<h2>Assess KPIs to Enhance Customer Experience</h2>
</p>
<p>
<p>It also uses button bot tactics to lead you to the information you want once  it knows your intent. Over the coming years, AI will empower financial companies to create increasingly personalised services for their customers. With a better understanding of their customers, they&#8217;ll be able to deliver more and more flexible products, built around their customer. Co-op’s use of bots is the first time a UK insurer has used social media messaging to communicate directly with potential customers, and highlights the attention the industry is giving these platforms. As for Spixii, we’re growing rapidly and will be opening offices across Europe later this year.</p>
</p>
<p><a href="https://www.metadialog.com/"><br />
<figure><img 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' alt='https://www.metadialog.com/' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='405px'/></figure>
<p></a></p>
<p>
<p>Your Insurance Chatbot comes with a complete range of scripts developed by our team of skilled script writers. These scripts will enable the Chatbot to respond to 100% of initial enquiries from Day One; we’ll also work with you to compile completely bespoke scripts tailored to your needs and based on incoming data. From simple FAQs to becoming a full-blown health assistant, chatbots can do so much more than giving tips, they can often help patients apply simple treatments, remind them to take medicine, and monitor their health. Chatbots can be used for patients to search for or book their own appointments, without having to speak to a receptionist. They can provide timely and accurate information on medical procedures, symptoms of illnesses, processes, health insurance, and more. Provide great customer service 24 hours a day, 7 days a week and 365 days a year.</p>
</p>
<p>
<p>Integrate AI-driven chatbots on your website or mobile app to ensure customers have access to information and assistance at any time of the day, even outside of normal business hours. ‘Guide’ chat bots and ‘conversational’ chat bots differ in their coding and purpose. Conversational chat bots, which require a diverse machine learning process, have around a 30-40% rate for answering customer queries successful, says Simon Harrow to InsuranceAge. With AI chatbots learning and improving with each interaction, they will play an increasingly larger role in automating tasks and providing personalized interactions.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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e2ZuF2odRvgqJZ7LoqimLrXYYpfR5dJqgjlLMR55azJDepLtVkkfK7WeclemqC3UlrgbTUcYYwbgBj/6fE7Srgdor5Wm02epqdM9nTT0N4micY36iu7HtpeRIPcU4LXyeGHvc0ZH0HDmtf8Auh2i98N5ppJNytzb7eoZetG+o7qjHPwpo+GIdBzDfALHKKhZqe1eOSlm3Ol6LVF6kiuRLqWlhM742uLTIRyDcjnjzWTrjozTFxpX0j7LSQBw9F9PE2N7D4EOAz9hyD45UrSWiasi61pAHd4rVLvpdSWirFJI0k7CSMbM7uawNgHqPas5bQ9tftKbLVEDdL7l3CvtkTgXWm9PNfRvbg+gGyHjibzz+acw58VhW40b7dcKmge8PdTSviLh0PCcZXzqLILTgraWPbI0PbuO1bj+zP8AKd7V7vz0ektz6SLQmqJwyKOWao47XWy4APdzOAMBc7iIZJyAwO8eVdHEU8WMNfG8Y8w4H+8L8z6vP2GflC73tJWW7anee6T3LQ0hbS0NymJfUWTJ9EE9ZKcZwWnnGMFvot4D8VSvZvZ2PNM6yZUah26ZBYL7kyGnaOGjqnc+rR/FOJx6TeXXLcnIhezvaX1PtvfG7U780tRTikc2mhuM7cS0o6NE2OUkZGMSDJ8TxA5FvqSrpbhSQ11DURz01TG2WGWJwcyRjhlrmkciCCCCFjffLYzTe82nnUtWxlJeqRhNvuLWenE7rwP/AFoyerfDORgrNiqQ9vVT7W8e8LSLpozJRzm62AiOb8zPySDgRuB4Ed/vWSaeop6uGOppZmTRStD45GODmvaRkEEciCFyYCph2fN5NR7N6wl2N3ac6mo4p/m9JPUPyKGU82t4zyMD8gtPQZB5AnFzwQRkeKszwGB2DtB3Hipuw3yG+03WsGq9pw9h3tcN4P7H98hMDyTAXlFYU4ul1PovSes6E27VWnLfdacggNqqdr+HPi0kZafaCCq3bmdh60VXe3faa8yWmq5u/J1ZI6SneeWGsl5vj8fpcecj6IVq0V6KolgOWFQl30ctl8YWVsIceO5w5Ebf2WrDUln1ZoC9Sac13Yqi31kfMcbMB7f1muHovb/SacL0jkjmZ3kTw5p6EFbKdwtt9Ibm2CTT2rrTFVwOBMUuMTU7/wBeN/Vp5D2HoQRyWv8A3m2U1XsVfgJXur7BWvIoq8NwHjr3cg/QkA+wjmPEDY6G6CbsP2FeeNNOjiewZq6M68PHvb7X8jZxAUYRcVLUw1cQmhPLxHiD5LlUyDnaFy0gtOCiIi+r4iIiIiIiIiIiIpfvB61tYe/K34zlEFL94PWtrD35W/GcogrUHom8gpG8esaj23/UUREV1RyIiIiIiIiIiIiIiIiDmRlUX7Qk51f2jDYweNjamhtbQPbw8Q/tPcrj6x3C0Zt9Sw1msdQU1tjqHcMQfxOfIfHhYwFxA8SBgZGeqo7X6u01cu0f/DOS6MNjOoWVgqzG/h7lkgIdwkcQ5NHhlQl3lY5rYsjeMrr/AEUW+qiqam5CJ2qInBjtU4LsjY04wTs3BbAIYY6eCKniaGsjYGNaBgAAYA/Yu20zp656sv8AQ6cs0He1lwmbBE3wBJ5uPkAMknwAK6S33KgvFDBc7VWw1dJUsEkM8Lw9j2nxBHIhWt7Ge37JHXLcWvp8ljjQUBczpyBle3z6tbn2OCkKuoFNAZB5LRNF7BLpFeI7c7IySX8Q0fi8+7mVYLbfQNn230pR6ZszAWwt455iMOqJj9KR31noPAADwUoc5rGl73BrQMkk4AC8qrnyi++0+yfZ3uNPZaswag1jL+Qre5kgbJCx7HGomHj6MYLcjo6RhWkuc57i528r2VS00VHC2ngbqsaAAB3ALXp8oX2sa3f7c2bRemLk46E0jUyU9EyN3oXCrblslW7H0h1bH1AbkjHGVUpF7RxySv4ImOe4+DRkqnerxIAyV6ouf5hXfzOf/dlPmFd/M5/92VVqO4KjrY/1D3r6tP3+v01c2XS3OaJGgtcxwy17T1aR5LLevNTVunbDQ11BHGZrjGwguBIi4mcWQPEjwz+Cw18wrv5nP/u3f9llHdiGaTS9gayJ7i2KAEBpyPzSmrfNNFSzBpIwBjwydq0rSGko6i60Re0HWLg7xAGQDyKxQ975HukkeXOeS5xJyST1K8LlFLVHpTS/2CnzWq/m0v8AYKhdV3BbqJIwMAhcSLlNLUjJNNKMdcsK4l8II3qsODtxWzX5LLtZ1VVIzs0a9uZk4Inz6UqZn8w1gLpKIknmA0F8Y8A17f1Qtlq/NjpXU160Xqa1av05Wvo7pZayGvo52HBjmjeHNP4jp4jkv0NbLbmWzePanS+5tp4RBqC3RVTmNORFN9GWP7kjXt+6vi+rGna22Sj3D0i/WFjpOLUNghdIBG30qulGXPi5c3OHNzR55H6SdkLeSbcTRr9LX6rMt806xkbpHuy+opTyjkPiS3HC4/1SeZWfnDIxjIVFdTwydmntTU93t/FBYLvM2dzG8mfM6h3DMzA8I3guA/oMWfAftERgO8bR/C59fmf05dor5DsjkIjmHdt/C/mO8/yVexF6xvbIxr2ODmuGQQc5C9lgLoKIiIiLo9ZaPsOu9O1ul9S0LKqgroyyRh6tPg5p/RcDggjoQF3iL6CWnIVuWJkzDHIMtOwg7iFq73Q28vey2vavS9zcZqcfnaSp4cNqqZxPC8eThzBHg4HwwT8TXNexr2HLXDIPsV3u1xtZFuBtnU3uipmuvGmWvr6ZwA4nwgfn489cFg4gPFzGqhtgqi+N1I882ekz6vELbbbV9fHh29eT+kDRgaPXEti9G7tN5cObTs5YXaoiKVXPkRERERERERERFL94PWtrD35W/GcogpfvB61tYe/K34zlEFag9E3kFI3j1jUe2/6iiIiuqORERERERERERERMFFDd4tVXTRO2V+1RZTG2uoacGB0jeJrXOe1nFg8jjiyM8sjmqJHiNpedw2rJoqSSvqY6WL8T3Bozuy44Gfeqs9tKomfufQQPkc6OK0xcDSeTcveThV/zzyu+1lrnVOv7o29aturq+sZEIWymJkeGAkgYY0DqSuhWjVMonmdINxK9o6N2ySy2mnoJSC6NoBI3Z8M4+Svh2RZpZtmKNssjnCKuqmMyc8LeIHA9mSfxW4LZfTTNJ7YadszWFsjaJk8wI597L+cfn7zyPsWoLsYRCbai3RFodx3WduD45e1br6eJkEEcLAA2NgaAPAAYUlXyH7JCzw/YLnug1Gx2lN4qyNrX6o/6nOJ+kLkWor5XbcGW+746e2+hn4qXS1kE72A8m1NU8udkefdxw/Yfatuq0S/KD3upvna/3EfUnPzKspqKP+pHSwgKGXXVXZZY2W0Ld5K6m1wZ6NtBH30YidIe+fy4OIN4cY4neJHisTqx+zP+QND9VR8dTmj9OyorRr/lGRzBC0jpAr5qGzO6nHbIYc/pIOceOzeptgLxgLysF3TcbWRu9eY7uKKOmqHMbTdxGeENOBnIzzx4n9y3S4XKK2ta6UE54Li1i0eqtIZHx0xaNUZOsSPkCs5kBR6+fy77gXbWasnuFooq6ph7qWogjlez9VxAJC6m+fy77g/esiVwfGHDvWBSsMU5Y7eMhdfk+aZPmoluHdbrbqOlit8z6WKokLZalhw5pAy1oPhnmfu/WuDb+53ernq6SsrZKyCJjXCWQ8TmPJ+jxHmcjn7MKFdcI21YpMHPHu3ZW4tsU7rYbprjVHdnbvx8+5TGankrYX0cbgHztMTSTyy4Y5/isGax0dc9EXVloulTSTySQidklLIXxlpc5vUgHOWnwWfKL+WQf6xv96xbvp/lRQ/7APiyLEvtOx9N1x/E07PNS+gtwniun2NpGo8EnjkDZgrHC23/ACQu4Mt92W1Nt9V1Mkkul7184p2ueSGUtVGHBrQeg72OY4GB6fnlakFsO+RvvE8O4u4lhB/MVdlpKx3sfDO5g/ZOfwWmLs62qqrPb00tHWaOsGr4qcumtte6jleB9GGZhOT7OONo+tytMsOdrmiFXsFqV2AXU5pJm58MVMYP7CVkUjiydpHFa5pfStrLHVRu/QT5t7Q+IUj2C1NJq/Z3St8nk4530DYJnE5JkiJicT7SWZ+1ZAWAuxNWOqtkYoXOJ+a3SqhAPgMtfj/nWfVTUNDJXNHFZWj1S6stNNO/e5jc88DKIiKyplEREReksbJY3xyNDmvaWuB8QVq03A01/AHdO+aXYMRW+5SwxD/0XHij/wCRzStppWvHtjUMFBvzcJ4GBrqqkpKiTHi7g4c/gwKVtLy2YjwXKeluiZPao6g72ux5OBz8QFj5ERbcvMCIiIiIiIiIiIil+8HrW1h78rfjOUQUv3g9a2sPflb8ZyiCtQeibyCkbx6xqPbf9RRERXVHIiIiIiIiIiIiIsa9pH1Iap/2eL4zFkpY17SPqQ1T/s8XxmLHqvQP5H5Ka0a9dUf/ADY/rC14oiLRF7bV9exfIItqbbKTjgu07vwe1br4JWzQxysOWvaHA+YIWkjsgepqmB8bhVf9QW4vaHUceq9tdO3tsvePmoIo5Xf+rGOCT/ma5TFew/ZIH+GPkuR6D1bW6UXilO8v1hyDnA/MKYLRR8oZYZ7D2wNwWz/6fU0tez+rJSxELeutSXyvW3ctk3k0vuPBT4pdTWY0csjW8vnNK/nxHzMcsePY0+Sh11xUJWXdlte3Bk1NoN1vpHUzzNI2pId3zBjjLRzxjib5eJWIlNtmvWDQ/wCrm+G5SVomfDWx6hxkgHkStb0upIKuzT9c3Oq0uHg4A4PkrH+xdbU6asFZWflCrslDNU5B76Sna5+R0OSM8l2S9ZH92xz+Eu4QTgdSumPY147YyvNUUskRzG4gnZsOF7dAo7fP5d9wfvXQs3n0+/OLNePROCDFEMEeHORdbcdzrRWVPfR2q5gcIHpNiz8RRU12oi3AkC2aj0XvDX6xp3YxwXeyww1EboaiJksbxhzHtDmn6wV4gp6eliEFLBHDG3oyNoa0fYF0lm1nb73cfyZTUFbHKGGQukYzhDRjrhx8wu/XyKWKoHWRnPdlVVVNUUTuoqGlp34K9Zap9FE+sjaHOp2mUA9CWjP7lg/XGtKzXV4Zdqu30tF3UDYGQ04dwhoc52TxEkklx/Ys03L/ABdV/wCof/0lV1HRQGkMz2tZED2TnI5YW/dHtHBJJLVObl7cAHgDnPvwi2IfI32WafcHcbUIOIaOzUdER5umnc8fgID+K13rbz8kdt1LpvYq+bgVlM6ObV95cKd7mECSkpW920gnqO9dUDI8seC1ZdTV6lh7tb1gpNgtTDPpTfNIm+3NTFn9gKzCqv8Abw1Syg0JZNJxVBbPdbiamRgP0oIWHOfvyRn7FkUjS+doHFa7pdVNo7HVSOP5CPN3ZHxKkXYkpXU+yUcxaR85utVL9f0G/wDtWfljvs9aak0nszpW0Txd3MaFtVK0jBD5iZSD7Rx4+xZEVNQ4Plc4cSsjRymdSWimhfvDG554CIiKyppEREReD0WvTtj1cVfv1WU8Ugcaajo6d4B+i7g4sfg8fithT3tjY573ANaCSSeQC1ebiakZr3dvUWqojxQVVwlkhd5xMPBEf7LWqVtLC6YnwXKelutZBaI4Dvc/Pk0HPxIXyIh6ottXmBERF9RERERERERS/eD1raw9+VvxnKIKX7wetbWHvyt+M5RBWoPRN5BSN49Y1Htv+ooiIrqjkREREREREREREWOu0NR1VdsvqmnoqeSeU0rHBkbS52GyscTgeQBP2LIqK3KzrGFnEYWZbqw2+shrAMmNzXY46pBx54WqhzS04IXhZ37Y9JSUe6VMykpYoGvtcT3CNgaC4vfknHisELRZ4uokdHnOF7Usl0F6t0Nwa3VEjQ7Gc4z47Fezsg+pqm94VX/UFsa7GWvWPpbnt3XVHpxONwoA7HNhwJWD6jh33itc3ZBGNmqb3hVf3hWE0dqm6aK1Lb9UWeThqrfMJWA/ReOjmO9hBIP1raBT/aqBsffgY5rzVNfnaN6cT1/5RK8OHFpO33bx4gLZsOarX8oHsVJvl2dbxS2mkM9/0w8X21NaPTkfE1wliHieOJ0mB4uDPILOmhNbWbcDTFFqixy8UFWzLoyRxQyD6UbvJwPL9vQqQYB6rU3NLCWu3hepKeeKqibPC4Oa4AgjcQdxX5nSCDgjBCmG0tZR0GuaOprqqGnhaybMkrwxozG4DmeSsz8o12R6vZDcKbc7RtrI0LqypdLwwsPBa692XSU5xyax/N8f3m/oDNNldppjTzNlAzqkH3KxcaMXCkkpHHAe0tzwyMK2H8LdLf8AmS1/8XH/AN14OrNLf+ZLX/xcf/dVQRbL/VUn+7HvXNv8LKb/AIl3/aP5VoHaS0NqCR92ioKSqM7iXTU8xDXO8TljsE+a6W7aG0tBV91Fa+FvCDjv5Ov9pNk+WhYef+kzf3rvb5zrvuD96nmQ09VTtndG3LsHcO9aHNVV9tuElCyoeWxktHaI3HG7OAo1BHpnTOYI5aKgdL6RD5Wte8eeXHJHX9q5f4Q2A/8Ax23/APFM/wC6xxu9/jqj/wBm/wDcVA1AVN5NHK6BkYw3yW/W3Q1l4pGV007tZ4ydmfDeSs+XC/2J1BUsZe6BznQvAAqWEk8J9qwGOiIoWvuDq8tLm4wtzsGj8dhbI1jy7XxvGN2f5Xd6H0dfdwtYWbQ2maV1TdL5WxUNLGBnL3uwCfYOpPgASv0NbS7dWnaTbTTW21kA+aaet0NEHgY717W/nJCPN7y559riqK/Jcdkep03RjtIbg20x19xp3Q6YpJ2YdBTPGH1hB5h0g9FnT0C88w8Y2MKPWwrwTjqqK7g1EnaO7UlHpa2vM1jtM7aJz2nLPm8Li+okz/SdxNB8fQWee1TvVFtlop9jstXw6kvsboKUMPp08J5Pn9mBkN/pH2FdR2PNnZNC6Tk1rfaUx3nUMbXMa8elDSdWt+txw4/U1SFOPs8TpzvOwfyue6Rv/qG6Q2CHaxhEkx7gBuafE/wVYaGKOGJkUTGsYwBrWtGAAOgXuiKPXQgMbERERERF1epdSWXSNjrNR6hr46O30ERlnmkPJoHgB1JJwABzJIAX0Ak4CokkbE0vecAbSTwWLO1VujFtxthW0tJU8F41C11uoWtOHNa4fnZeuRwsJwfBzmKg9mpDS0veOGHy8z5geAUv3W3Ium9Wup9W3GN8Frp809tpHf5qAEkZGccRPNxHU8ugCj6262Un2ePLt5Xk3pD0oGkdyIgP3TOy3x4nzPwARERSi5+iIiIiIiIiIiIpfvB61tYe/K34zlEFL94PWtrD35W/GcogrUHom8gpG8esaj23/UUREV1RyIiIiIiIiIiIiIiIixRvZ2e7JvHPR3V15ltF0o4u4FQ2ETMki4iQ1zOJvMEnBBHU9VTfX22Y2+3K/gFcbuZ4GzU7XVwg7vMUnCS8MLj0yf0vDqtj6p922dNuo9UWHVkLMNrqR1JI4D/OROyM/df+xQV3o4xGZ2jbkZXZ+ivSmvNeyyTy5hLXBgwOy4drYcZ3A7CcKz+3+h7Lt1pOh0rYS91NTNLjLIcvle45c92PEn9wUiBI6KIbSari1rtvp/ULJA6SajZHPzyRMwcDwfvNKl6mIdUxt1N2Ni5PdW1La6ZtYSZQ92sTvLsnPxWTdjt6LjtJfiZWyVVjr3NFdSNPNp6d7GOnGB+I5HwIvjp7UFo1RZ6a/WKvirKGsYHwyxnkR5HyIPIg8weRWsEcjlZA2n3n1XtRcTJapfndsncDVW6Zx7uT+k0/oPx4j7QVGXG2Cp+8i/F8/wDVdF0B6RH6O4t9wy6nJ2HeWE8OLeI3jeOBvlrnQ+ldydJ3PQ+tbNBdbLd4DT1dLMMte3qCPEOBAc1w5hwBBBAWlrti9hnXPZmvFRqKyxVd+29qZf8ABLu2PMlFxHDYasN+g4EgCTAY/ljDjwDcVtrvHondGhE1guIjrmN4p7fUENqIvM8P6Tf6Tcjn58lMK+30N2oZ7bdKKCrpKqN0M8E8YkjlY4Yc1zXZDgRyIPJas9jo3arxgr0vRV1NcYW1NI8PY7cQchfmlRbZ+0T8lBoXW09VqbYe9waOuszjI6z1rXyWqVxIzwObmSmGC44a2RvIANYOY1/bodjrtKbQ1ErdX7TXuSjjMhFxtcJr6N0bSfTMsHEIwQMgScDsdQOapWUsSU12utHEIaS51cEYOeCOdzW5+oFeXXm8PdxPu1Y4+Zncf3r4gQ5vE0gg9CPFeVVruHerXUxE62qM8lyT1NRUuD6moklcOQMjy4gfauNc1DQ1tzrae222jnq6uqkEUFPBGZJJXno1rW5LifIKxe0HyfHah3engmi0FLpS0y8fFctTF1C1vCAeUBBqHcWfRcIi0/rAc1STnaVcADRgKty2D9hb5Oi6awrbfu72gLDNRadhc2ptenathZNcnA+jJUsPNkGeYYcGTlkcB9O1PZp+Tk2a2EqqXVV/c7W2rqZzZYbhcIAympJAQQ6npsuDXAgEPeXuBGWlvRWy5NHkEX1escccETIYWNZHG0Na1owGgcgAPJQLePeTTWzumnXe8StnrpwWUFvY8d7UyeweDBy4nYwOXiQDCd5O1RpXQbaiwaPEWodRjLCyJ+aWjd5zSDqRz9BuTywS3kVjbbDYDWe7uohulvfV1L4ZyJIKWXLJJmdWtaz/ADMIzyHJx58hniOdDSgN66fY34nktHvGlL5JzabEOtqTvI/BGP1PO7Z3Dj47D1+yO1Wpt+Nczb0brh01AJ+Onp3tIZO5p9GJjT0hZ0PXJBHM8RVzWta0ANGABgBcNDQ0dspIaCgpo6emp2CKKKNgaxjAMBoA5AAL6FZqKgzuzuA3DgpjR2wR2GnLC7XledZ7zvc7+B3D9yUREWOtgRF8N4vln0/RPuN9utHb6VhAdPVTtijBPQFziAsBbj9sXTFmZJbtu7e+/VuCBWTh0FHGeY8QJJCDjkA1pB5PV6GnlqDiNuVDXfSG2WKMyV8zWeGdp5NG0+QWbdaa40xt9Yp9Sasu8NBQwDm95y6R2MhjGjm95wcNGSqHb273ah3turYXRzWrS1HJx0luLvzkzueJZsci7HQDIaOmebjGNZ6z1TuDeTfdZXma5VIJ7pjjwwU4OPRijHosHIe04ySSulWyUNqbTnXl2u+S87aa9JdRpADRUAMcHf8Aqdz4Dw96BrWAMYMNAwAPBERTC5YiIi+oiIiIiIiIiIiIpfvB61tYe/K34zlEFL94PWtrD35W/GcogrUHom8gpG8esaj23/UUREV1RyIiIiIiIiIiIiIiIiLFvaT0K7XW1VxipYTJX2gi5UuOpMYPGPtjL+XnhZSXgta8FjgCHDBB6EK1NEJozG7cVn2q4y2iuiroPxRuDh447vMbCqpdi3cNscly21uMzR3pNfbw48y4DErB9ga4D2OVrlRDeXRt52H3ag1JpoOgoqioNxtUoB4GkH85AfPhzgj9Vw81cjbfX1m3L0lRaps7wO/bw1EHFl1PMB6cbvqPTzBB8VG2uYtBpZPxN+X9/BdD6SLVFUPi0mt4zBUgE/5X47+Gcbf8wKk6Iil1y1c9FXVltqo6+31c9LUwuD4poZCx7HeYcOYKzvoDtfa1082Oh1hRR6hpGgN77iENU0eZcBwv5eYBPi5YBRWJqaKoGJG5UxZ9ILlYJOtt8xZxHcebTsPuV/NJdpbaPVTWMGohaah5x3FzZ3BB/r5Mf/Msl0Fxt11pxVW2tp6uF3SSCRsjT9oJC1c5PiridinH8Cr/AI/+aD4TVr1wtkdLGZWE8l3fQTpIr9Irg22VsTckE6zcjcM7jnf4ELMWpNq9sdZSOl1ft1pi+PeMOdcrRT1JcPImRhyovF2WezNBMKmHs9bbMlByHjStDkf/AEllAkDqVBNzN6tA7VUwdqS68ddI3igttKBLVTe0Mz6I/pOIb7VDMY6Q6rRkrrtXWU9DEZ6l4YwbyTgKRaf0Xo7SMbo9LaUs9mY/Ac230MVOD9jGhe971bpbTUTp9Qagt1uY0ZJqalkfL2AnJVHdz+0ruJuQ99DSVT9NWMn0aKhmInmHLHfTjDj/AFWcI54PF1WKSSXOcXEueeJziclx8yfEqagsj3jMpx4Lj166ZKOlkMVrh63H5idUeQwSR7ldvWfa622sDJIdNsq9RVYb6AhYYafi8nSPGftaxwVcdx+0RuRuMJqGe6Gz2iQkfMLcTGHszyEsmeN/LkcFrT+qsY5Pmilqe2U8BzjJ8Vy2+dIt+vrTFJL1bD+VnZHmclx9+PBeGNZGOGNoa0dABhTLTW8G5mkWCKwa1udPC3k2GSTv4mjyDJA5o+wKHIs58bJBquGQtPpa2poZOtpZHMdxaSD7ws6W/tjbr0bWMqqSw1oaMOdLSPa93t9CRoz9iltk7bVaauCPUWiITTFwE0tFUnja3xLWPGCfYXD61V5FhvttK/exbVTdIektLjUq3ED9QDvmCfitlWh9xdH7h278o6UvMNY1oBlizwzQk+D2Hm3+4+BKkjiCFrAsl+vWm7lDeLDc6mgrYDlk0EhY4ezl1B8QeR8VZva/thRvEVn3QpQwgBjbrSR5B5dZYh0/rM5c/ohQlXZ5Iu1D2h8f9V2PRjpZoblq092Ahk/V+Q+e9vnkeKq/rq+Xu97oX115vFbXup7pWxRGpnfJ3bBI8BreInhaAAAByAC+Y9T9a59U0tNPru83m31Ilpam41czHfrNfI4hw9hyF862KnYWMAIXny8ziprXyB2ttO3f3lERFkKMREREREREREREREREREREUv3g9a2sPflb8ZyiCl+8HrW1h78rfjOUQVqD0TeQUjePWNR7b/qKIiK6o5ERERERERERERERERERERQ/dXbW07p6PqdN3Hgjn/jaKpLcmnnA9F3ng9CPEEqmu32u9Y9m/cGss18opvmolENzoPCVg+jLGTyzg5aehBwevK/SxtvTsjYN37SO9c2ivdIwiirw3OPHu5B+kwn7QTkeIMXX0bpCJ4Njx8V0TQrSynt0clmvLdejl39+oT+Yd+O842ggOG3OZrpjVFh1nZafUOnLjHWUVU3iY9h5g+LXDq1w6EHmF2i1/wBk1Hux2ZtXy26ppn07ZCHT0UxLqStYOj2kcs46OacjofEK2W1/aF0BudFFSw17bVeXAB1urHhrnO5fxT/oyDJ5Ael4loX2kuLJvu5ey/gVTpR0f1dnH223Hr6R20PbtIH+bH1DZy3LJyJj2opNc9RWu7KGrNO6N221DedT3imt1Gy6Ad5M/HE7uWnhaOrncjyAJKphV7i7fUFYbdW6807BVtcWOgkukDZGu8i0uyD7CpCyVssLXxyh8bvSaWnIIPiFh1MLK2Mxa3ftwto0eu1XohXNuRhJJa4N1gQDkYzu2geG/irEbp9r/UV/M9m2zo32WhyWOulS0Oq5R0zFGctiB8Ccu6cmlV6nmnq6qavramaqq6lxfPUVErpJZXH9Jz3HLj9a9EVVPSRUoxGPPvWLfdJrnpHL1tfISO5o2NHIfvv8UREWUoFERERERERERERERERERERERERERERERERERERERERERERS/eD1raw9+VvxnKIKX7wetbWHvyt+M5RBWoPRN5BSN49Y1Htv+ooiIrqjkREREREREREREREREREREQEjoiIi6LWWhtLbgWh1k1ZaIa2mdzYXDEkTv1mPHNp9o+3IVU9x+xzqmyzSXLbmvF5o8lwpJ3Niq4xnkA7kyTA8fRPk1XJRYdTQw1X4xt4962rR3TO76MOxRSZj72O2tPlvB8QQqCWfeTfjaGoZZ7jV3GOOE4FDe6Z0jMdMNL8PA6fRcAu91h2vNa6s0XPpqOz0tprqrDJ7hQzvaTF+k1rHZLCeQJ4zyzjGVdW4263XendR3W301ZA/m6KoibIw/dcCFXPtObCWZ+lW6t2+0pS0lZb5DJXwUEPB3tORzcGN5ehjPIDkSfBRVRRVVNE4xSEt4eC6VY9L9GtIblCy5W9kcznDDxjV1u4u/DvOzbrbd6p6XOJySSVavsabl3Wrra7ba61UlRTRUxrbeZHZMIa4B8YJ/RPECB4YPmqpkYVp+xht1dIblX7kXCnkhozTOoaEvGO/LnNMjwPIcAGehJPkVG2zX+1N1PPkui9JQozo3UfbMbhqZ36+ezjx447s9ytieqIefNFuS8ioiIvq+oiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKX7wetbWHvyt+M5RBS/eD1raw9+VvxnKIK1B6JvIKRvHrGo9t/1FERFdUciIiIiIiIiIiIiIiIiIiIiIiIiIiIiD2oiIolV7R7W11wN1rNv7DLVOcXukdQRnjcTklwxhxz4kFSqGGGmhZTU0LIoomhjGMaGta0DAAA5AAeS90VDY2MOWjCyaitqqtrW1EjnBu4Ek45ZOxERFWsZERERERERERERERERERERERERERERERERERERERERERERERERS/eD1raw9+VvxnKIKX7wetbWHvyt+M5RBWoPRN5BSN49Y1Htv+ooiIrqjkRERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERERF//2Q==" width="304px" alt="insurance chatbot"/></p>
<p>
<p>At the AI Assistant Summit in London this September 21 &amp; 22, Alberto Chierici, Chief Product Officer and Co-Founder of SPIXII, will discuss how they are working to make the best dialogue management solution for insurance companies. Alberto will also share some of his experiences in designing the chatbot and stress the importance of good design practices for ‘crafting remarkable customer experiences with digital agents’. While we’re building the “script” and doing user testing, we aim to make sure the conversation reflects what feels natural and intuitive. A chatbot is a scalable solution to helping insurance companies personalise their digital customer experience. NIMO will provide instant assistance to INZMO customers, addressing frequently asked questions relating to the company’s insurance products – helping them make more informed decisions. This includes providing information on a policy, claim procedures, coverage options, and pricing structures while ensuring users receive accurate and comprehensive information tailored to their specific needs.</p>
</p>
<p>
<ul>
<li>QBE Ventures’ Head of Emerging Technology Alex Taylor sees the most immediate potential to use generative AI for extracting insights from unstructured data in submissions and claims.</li>
<li>Väre chose LeadDesk because their chatbot has the ability to customise brand messaging based on brand personality, and easily build a front-facing chatbot personality that reflects your brand values.</li>
<li>In our curiosity, we asked ChatGPT to draft a high-net-worth household insurance policy within certain parameters.</li>
<li>Väre has nurtured a very specific brand image that helps customers choose a carbon-conscious electricity solution, all while maintaining a casual, friendly, relationship with their customers.</li>
<li>Other future developments explored include guiding customers through the sales journey; offering personalised recommendations based on individual needs and demographics; and supporting the claims and settlements process.</li>
</ul>
<p>
<p>Collaboration with the biggest brands in underwriting has fuelled development of the solution and changes to business practices to ensure the software is the perfect fit for Insurance companies. InsTech’s research team maintains a database of insurance technology companies, called  ATLAS. We use ATLAS to help our insurance corporate members identify potential clients and partners. We’ve now developed our own generative AI tool to keep the database updated and increase the capacity of our research team (allowing them to write more newsletters like this one). Every time someone at InsTech comes across a new company, they enter the web address of the company into “AtlasBot”. If the company is already in our database, AtlasBot returns the relevant entry.</p>
</p>
<p>
<ul>
<li>ChattBotz can increase your website’s conversion rate through automated chat.</li>
<li>Indeed, insurers are looking to automate the likes of claims and refund requests to help cope with increased workloads and remove some of the burden from contact centre agents.</li>
<li>Our AI powered platforms are trained to access the information required to answer customer queries from documents, knowledge bases, databases, product manuals, business applications such as CRM &#038; Service Desk.</li>
<li>In processes that use speech, different staff members can call into the test number and speak with the service and ensure it understands all words, phrases and dialects and retune as necessary.</li>
<li>While most electricity companies are content with selling electricity contracts, Väre ups the game.</li>
</ul>
<p>
<p>Automated customer service processes can be delivered though a variety of media including telephony, social media, SMS, email, web, smart devises, kiosks/video screens and also your existing digital portals or within apps. For self-service to work effectively, it must replicate what a great Customer Service agent would do to provide a seamless user experience. An agent will have access to many different applications where they can retrieve information, follow processes, <a href="https://www.metadialog.com/blog/insurance-chatbots/">insurance chatbot</a> perform transactions, update the relevant systems and record the interaction. Chatbots are able to deflect a huge percentage of inbound calls and webchats from ever reaching the Contact Centre Agent by automating simple, repetitive queries. The information gathered via the chatbot enables intelligent call routing, and reduced average call handling times. Utilise text-based AI chatbot interfaces to allow your customers to interact via their smartphone, tablet or PC.</p>
</p>
<p>
<p>Without her, customers would have had to wait hours for the call centres to open and then join long queues to speak to someone. Customers can talk to the Zara chatbot to notify Zurich UK Insurance (Zurich) of a non-emergency home or motor claim. Brokers should educate customers keen to cut back on premium spend as to the risky consequences they could face, according to Guy Penn trading director Mark Whiteman.</p>
</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="308px" alt="insurance chatbot"/></p>
<p>
<p>Modifications, cancellations, extensions, or even payment-method changes may all eventually become possible with added functionality for the chatbot. The Caerphilly-based brokerage, which specialises in offering business insurance to SMEs across the UK, aims to provide customers and potential customers with a faster, simpler way to request quotations and gain an enhanced service 24/7. The ProNavigator team is busy honing their AI and natural language processing engine, building more voice integrations and “working alongside the customer support agents using the tools we’ve built” to understand how to make them better, says Joseph.</p>
</p>
<p>
<div itemScope itemProp="mainEntity" itemType="https://schema.org/Question">
<div itemProp="name">
<h2>What are the 2 main types of chatbots?</h2>
</div>
<div itemScope itemProp="acceptedAnswer" itemType="https://schema.org/Answer">
<div itemProp="text">
<p>As a general rule, you can distinguish between two types of chatbots: rule-based chatbots and AI bots.</p>
</div></div>
</div>
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