The AI For All Podcast is your all-in-one podcast for all things enterprise AI. Hosted by Ryan Chacon and the AI Advisor to the United Nations, Neil Sahota, the podcast brings together a wide range of perspectives on artificial intelligence (AI), machine learning, data science, and robotics. Hear from AI companies about their latest advancements, learn from experts in the field including researchers, academics, and industry leaders, and encounter unique perspectives from artists, philosophers, and entrepreneurs.
In this episode of the AI For All Podcast, Nikola Mrkšić, CEO and Co-Founder of PolyAI, joins Ryan Chacon to discuss AI-powered solutions and voice assistants in enhancing organizational efficiency and improving the customer service experience. The conversation explores the growing adoption of AI across various industries, the pivotal role of generative AI in deploying scalable solutions, benefits of AI, risks associated with implementing generative AI, and the importance of skepticism and testing when navigating customer service technology. Nikola Mrkšić is the CEO of PolyAI. He graduated from the University of Cambridge with a Ph.D. in Machine Learning and Natural Language Processing. Prior to PolyAI, Nikola was an ML Researcher at Apple. Nikola was named in the Forbes 30 Under 30 in 2021 for his work with PolyAI. PolyAI is a leading provider of AI-powered voice assistants. Their customer-led voice assistants are used across industries within global companies where B2C conversations are crucial, like FedEx, Marriott, Carter's, and Caesars Entertainment. PolyAI's award-winning voice assistants have earned renown for their ability to understand natural language and provide quick, accurate, and helpful responses. Discover more about AI at https://ai-forall.com More about PolyAI: https://poly.ai/ Connect with Nikola: https://www.linkedin.com/in/nikola-mrksic/ (00:00) Intro (00:31) Nikola Mrkšić and PolyAI (01:57) The rise of AI-powered voice assistants (03:15) Transforming customer service with AI (08:27) The power of personalization and data insights (15:50) Navigating the risks and future of generative AI (21:26) Looking ahead: the future of AI and humanity (24:01) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Maureen Metcalf, CEO and Founder of the Innovative Leadership Institute, joins Ryan Chacon and Neil Sahota to discuss how business leaders can guide their organizations through the age of AI. The conversation covers the complexities of digital transformation, how AI can be utilized to enhance leadership skills, and precision leadership to understand and address individual employee needs effectively. Metcalf emphasizes the balance between leveraging AI for operational efficiency and maintaining genuine human connections within leadership roles. Maureen Metcalf is a highly respected executive advisor and the CEO and Founder of the Innovative Leadership Institute. Maureen and her team guide clients through structured processes to amplify their impact and build thriving organizations. Recognized as a Fellow of the esteemed International Leadership Association, Maureen is also an accomplished author with her international award-winning eleven-book series on innovative leadership, including the most recent "Innovative Leadership & Followership in the Age of AI." The Innovative Leadership Institute is a pioneering management consulting firm committed to shaping the future of leadership across industries. It has created a comprehensive leadership development ecosystem by leveraging proprietary methodologies, technology, a certified facilitator network, and an adjacent service provider network to help deliver results. Discover more about AI at https://ai-forall.com More about Innovative Leadership Institute: https://www.innovativeleadershipinstitute.com Connect with Maureen: https://www.linkedin.com/in/maureenmetcalf/ Read Innovative Leadership & Followership In the Age of AI: https://www.innovativeleadershipfieldbook.com/book-series/innovative-leadership-followership-in-the-age-of-ai/ (00:00) Intro (00:36) Maureen Metcalf and the Innovative Leadership Institute (01:33) Approaching organizational transformation (02:56) Current state of AI and impact on leadership (04:53) Power of AI in enhancing leadership skills (06:13) Precision leadership (08:08) AI tools for all businesses (08:45) Data mining and workplace insights (12:22) Essential skills for leaders in the age of AI (20:42) Balancing efficiency and authenticity (22:48) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Ron Randolph-Wall, Founder and CEO of 3XM Technologies, joins Ryan Chacon and Neil Sahota, to discuss how AI changes advertising. Ron brings his wealth of knowledge from marketing, advertising, and the movie industry to discuss the incorporation of AI in loyalty programs and marketing. He highlights the challenge of understanding the customer to create effective loyalty programs, underscoring the importance of technology like AI for analyzing data. Ron emphasizes the crucial role of AI in existing and future marketing strategies, stating it is instrumental for developing customer rapport and growing brands. Ron Randolph-Wall is a pioneer in advertising and marketing. In the 1980s, he achieved remarkable milestones, including creating the world's first co-branded credit card for General Motors, the NFL, and the NBA, and introducing the first universally accepted movie ticket with 1.8 billion tickets sold in 16 countries over 25 years. Ron later sold his company to Fandango (acquired by Comcast) in 2013. Today, he employs sentiment analysis, AI, psychology, and linguistics to enhance the cinema experience and foster emotional connections between brands and customers. 3XM Technologies is a small company with a team of movie, marketing, and AI specialists working out of Los Angeles. The company's mission is to create more effective loyalty programs and buck the current trend of subsidizing existing customers. Discover more about AI at https://ai-forall.com More about 3XM Technologies: https://3xmtechnologies.com/home Connect with Ron: https://www.linkedin.com/in/ronrandolphwall/ (00:00) Intro (00:44) Ron Randolph-Wall and the history of advertising (06:31) Problems with advertising and knowing your audience (11:13) Rethinking advertising and marketing (13:57) The promise of AI in advertising and data analysis (14:50) Incremental profits and understanding the customer (17:18) How can companies start utilizing AI technology? (18:36) AI as a marketing assistant and advisor (20:55) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Tom Andriola, Vice Chancellor and Chief Digital Officer at UC Irvine, joins Ryan Chacon and Neil Sahota, to discuss the impact of AI in universities and the workplace. The conversation covers how AI tools can transform education and business operations, managing unstructured data, how AI has evolved over the years, and how companies can leverage AI. They also discuss the future of AI in workplace scenarios, where AI could lead in the next decade, and the importance of making AI accessible for all. Tom Andriola is a business and technology executive who has been at the forefront of technology-enabled transformation for three decades. He currently serves as UC Irvine's Vice Chancellor and Chief Digital Officer, ensuring the strategic use of data and technology transform the mission of the modern university and the future of health. He has been an innovator throughout his career, which has spanned across the public and private sector and included running tech businesses on four continents. Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement and premier research and innovation. UC Irvine has more than 36,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide. Discover more about AI at https://ai-forall.com More about UC Irvine: https://uci.edu Connect with Tom: https://www.linkedin.com/in/tomandriola/ (00:00) Intro (00:31) Tom Andriola and UC Irvine (02:31) AI in universities (03:53) Impact of AI on healthcare and research (04:34) Challenges and approaches in AI implementation (08:28) Making AI available to all (10:12) AI in the workplace (16:17) AI interpretability and interoperability (21:16) Role of AI in business decision-making (25:47) Future of AI and the metaverse (33:54) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Brendan Kane, Founder of Hook Point, joins Ryan Chacon and Neil Sahota to discuss AI in marketing and creating viral content. Kane talks about the significance of qualitative analysis to optimize content, mastering storytelling, and the importance of crafting a message that resonates with a wider audience. He speaks about the need for individuals and organizations to unlearn traditional marketing methods and adapt to new methods enhanced by AI. Kane also predicts that advancements in hardware will determine the evolution of social media. Since 2005, Brendan Kane has helped the largest brands and celebrities in the world reverse engineer how to make content go viral. Brendan and his team at Hook Point have generated 60 billion views and 100+ million followers for the content they have worked on. Over the course of his career, Brendan developed the first ever influencer campaign on YouTube in 2007, oversaw $200 million in marketing spend, worked with major corporations like MTV, Viacom, Vice Magazine, Paramount, IKEA, and Sketchers, generated $1 billion in revenue for clients, worked with celebrities Taylor Swift, Rihanna, and Adriana Lima on their digital strategy, generated over a million followers on his personal Facebook and Instagram account as an experiment, authored best selling books One Million Followers: How I Built a Massive Social Audience in 30 Days and Hook Point: How to Stand Out in a 3-Second World, and most recently developed The Hook Point Guide to Going Viral. It takes 3 seconds to make or break your business. Hook Point helps your brand stand out in crowded markets. There are over 60 billion messages on digital platforms everyday. The average person is exposed to 4,000 to 10,000 ads every 24 hours. Inundated with choices, today's consumers make decisions in milliseconds. How do you stand out and be heard? With an effective Hook Point. Discover more about AI at https://ai-forall.com More about Hook Point: https://hookpoint.com/home Connect with Brendan: https://www.linkedin.com/in/brendanjkane/ (00:00) Intro (01:16) Brendan Kane and Hook Point (02:10) How to go viral (08:25) Social media algorithms (09:30) The attention economy (10:44) How do you leverage AI tools? (12:30) AI in marketing (14:42) Qualitative and quantitative analysis (16:32) Can anyone do data analysis? (19:04) Will AI change how marketers are hired? (21:50) Unlearning traditional marketing methods (28:03) How long does it take to see results? (30:22) Future of AI in marketing (33:30) Learn more and follow up (33:55) Brendan's new book SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Hans-Martin Will, Chief AI Officer at LegalMation, joins Ryan Chacon and Neil Sahota to discuss the impact of AI on traditional industries like legal and insurance. They discuss the role of a Chief AI Officer and its growing demand, the concept of hybrid intelligence, and the potential risks and challenges involved in adopting AI technologies, focusing on transparency, explainability, and legal implications. Hans-Martin Will is a seasoned technologist and product leader with two decades of experience working at the intersection of applied research and product innovation. His expertise primarily centers on the development of data platforms, distributed systems, spatial computing, and the application of AI and ML across various domains, including enterprise business applications, language technology, and life sciences. He has led key initiatives at industry leaders like Amazon, Microsoft, and SAP, as well as product innovation in nimble start-up settings. Hans-Martin holds a PhD in Computer Science from ETH Zurich, Switzerland. LegalMation leverages the latest artificial intelligence systems (including large language models such as GPT-4) to help law firms drive efficiency with straightforward and easily deployed solutions with a focus on litigation and dispute resolution workflows. Discover more about AI at https://ai-forall.com More about LegalMation: https://www.legalmation.com Connect with Hans-Martin: https://www.linkedin.com/in/hmwill/ (00:00) Intro (00:26) Hans-Martin Will and LegalMation (02:06) What is a Chief AI Officer? (04:49) AI in the legal and insurance industries (11:04) Challenges and hesitations in AI adoption (13:15) Example of AI in legal work (18:49) AI hallucinations (22:08) How will AI evolve beyond LLMs? (25:33) Benefits and drawbacks of AI integration (27:54) Will there be AI robot lawyers? (29:09) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Lisa Thee, CEO of AMP Solutions, joins Ryan Chacon and Neil Sahota to discuss the ethics and responsible use of AI. Lisa talks about the evolution of AI, its applications in healthcare and online safety, and her career journey in the AI space as an intrapreneur. Lisa delves into the importance of online trust and safety in today's interconnected world and how to develop ethical, responsible AI. Lisa anticipates the future of AI, calling for more transparency and regulation as these powerful tools continue to evolve. Lisa Thee is a renowned thought leader and expert in the fields of artificial intelligence, career transformation, and ethical technology. With over two decades of experience, Lisa has dedicated her career to driving innovation and empowering individuals and organizations to thrive in an ever-changing world. Her passion for harnessing the potential of AI to create positive change led her to become a sought-after international keynote speaker. She has been honored with numerous awards, including the 2023 International Impact Book Award for her groundbreaking book, "Go! Reboot Your Career in 90 Days", the 2023 Gold Viddy Award for Long Form Series “Navigating Abroad”, and she is a Gold award winner for the 2023 Executive of the Year - Stevie Awards for Women in Business. AMP Solutions is a consulting firm focused on AI ethics, trust and safety, and women in STEM. Discover more about responsible AI at https://ai-forall.com More about AMP Solutions: https://lisathee.com Connect with Lisa: https://www.linkedin.com/in/lisathee/ (00:00) Intro (00:30) Lisa Thee and AMP Solutions (01:40) AI in healthcare and online safety (03:13) Intrapreneurship and entrepreneurship (04:09) AI as a tool for protection and safety (10:00) AI in trust and safety (16:02) The importance of building responsible AI (18:45) The promise of synthetic data (25:07) The future of AI in society (28:08) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Heather Harris, Principal Data Scientist at Herkimer Consulting, joins Ryan Chacon and Neil Sahota to discuss how businesses can better navigate the field of AI adoption. Harris emphasizes the significance of starting with a clear understanding of the organization's mission and the desired outcomes. She advocates for adopting AI as a support role rather than a central focus. Challenges such as data integrity, identifying the true AI solutions from the fakes, and obtaining the right data are discussed. Harris also foresees the integration of AI becoming seamless and covert in the next five to ten years. However, she urges businesses to be proactive rather than reactive to the rapidly changing pace of AI technology. Heather Harris has a PhD in statistics related to cognitive processes, and she has worked as a consulting data scientist and statistician for 6 years. Her approach to consulting is to guide clients through setting up complex processes and AI solutions while keeping data governance, data integrity, and diversity/data representativeness front-of-mind. As a consultant, she's led a multitude of diverse projects including predicting audiences and micro-target marketing for the first movie with a theatrical release following the pandemic, predicting and segmenting viewers for several television shows and networks, developing scoring algorithms for EdTech companies, and working with clients from several substantive areas to architect data ecosystems for AI solutions and advanced analytics. Herkimer Consulting is a small AI and data science consulting firm focused on holistic data strategy, AI/technology adoption, complex data integration, and advanced predictive analytics. Discover more about AI at https://ai-forall.com Connect with Heather: https://www.linkedin.com/in/heatherdawnharris/ (00:00) Intro (00:30) Heather Harris and Herkimer Consulting (01:58) Understanding data integrity in AI (04:07) What's the role of synthetic data? (06:40) Quality assurance standards in AI data (09:14) The importance of AI strategy (10:23) Navigating AI solutions and adoption (21:13) Challenges in AI adoption (22:56) Advice for companies starting their AI journey (24:37) Predictions for AI in 2024 (26:51) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Ben Mones, CEO of Fama, joins Ryan Chacon and Neil Sahota to discuss using AI for hiring and in the workplace. Mones stresses the importance of understanding how AI models reflect human biases. He emphasizes the need for diversity among the teams developing the technology to minimize this bias. Mones also underscores that in this rapidly changing era, businesses need to be flexible and open to new, contrasting viewpoints. Moreover, he predicts the elimination of rote and manual tasks but also the creation of new roles due to technological innovation. Ben Mones is the founder and CEO of Fama, a modern candidate screening solution that makes hiring great people easy. Prior to Fama, Ben held a number of executive roles at a variety of startups in the Bay Area and New York City. Ben is also a mentor on the Go-to-Market Advisory Council of Alchemist Accelerator, which is focused on accelerating the development of seed-stage ventures. Ben has been a guest lecturer at MIT Sloan School of Management, UCLA Anderson School of Management, and USC Marshall School of Business, and has also been featured in CNBC, Fast Company, Los Angeles Times, TechCrunch, and the Wall Street Journal. He holds a Bachelor of Arts from Vanderbilt University and is based in Los Angeles, California. Fama makes hiring great people easy. Their modern candidate screening solutions use online signals to identify candidate fit, highlighting professional attributes like creativity, innovation, and problem solving while also surfacing costly misconduct such as violence, harassment, and fraud. They help organizations answer that big question: how might a candidate act around coworkers or customers when they join? Founded in 2015, Fama is headquartered in Los Angeles, California. They're backed by some of the world's leading investors and have raised more than $30M. Discover more about AI at https://ai-forall.com More about Fama: https://fama.io Connect with Ben: https://www.linkedin.com/in/ben-mones-45740a2a/ (00:00) Intro (00:40) Ben Mones and Fama (02:15) Understanding AI adoption in the workplace (04:50) Challenges and opportunities in AI implementation (05:11) Navigating the AI landscape: advice for businesses (07:48) The journey of Fama: from idea to implementation (09:50) Addressing bias in AI (10:26) Preparing for AI integration (27:13) Future of AI in hiring and decision making (31:38) Embracing change and innovation (34:51) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Stan Schneider, CEO of Real-Time Innovations, joins Ryan Chacon to discuss the importance of data in AI. Stan shares how his company works with real-world systems, touching on the complex challenges of software-defined systems and the transition to data-centric design. He also details a range of innovative projects, from autonomous vehicles to medical systems and renewable energy. In addition, Stan emphasizes the significance of sensor fusion in increasing data quality. Stan is the CEO of Real-Time Innovations (RTI), the world's largest software framework provider for autonomous systems. RTI software runs over 2,000 designs including the largest power plants in North America, the Canadian Air Traffic Control system, NASA's launch control system, nearly all Navy ships, GE HealthCare's hospital device networks, Siemens wind turbine farms, trains and metro control systems, and over 250 autonomous vehicle designs. Stan holds a Ph.D. from Stanford in Electrical Engineering and Computer Science with a focus on autonomous systems. Real-Time Innovations (RTI) is the largest software framework company for autonomous systems. RTI Connext® is the world's leading architecture for developing intelligent distributed systems. Uniquely, Connext shares data directly, connecting AI algorithms to real-time networks of devices to build autonomous systems. Discover more about data and AI at https://ai-forall.com More about RTI: https://www.rti.com/en/ Connect with Stan: https://www.linkedin.com/in/stan-schneider-102466/ (00:00) Intro (00:25) Stan Schneider and RTI (02:18) What is a software framework provider? (04:38) Importance of data in AI (08:34) Challenges in data collection and quality (12:28) Transition to software-defined systems (13:58) Evaluating data quality in real world systems (16:00) Challenges and benefits of software-defined systems (18:43) Industries benefiting from software-defined approach (19:36) Learning from autonomous vehicles (20:49) Learn more and follow up Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Evan Welbourne, Head of AI and Data at Samsara, joins Ryan Chacon and Neil Sahota to discuss how physical operations in various industries can greatly benefit from AI transformation. Evan highlights highlights unique industrial challenges that AI can solve, such as dealing with large amounts of field data, time-consuming workflows, and risky work environments. He also talks about the concept of connected operations and how enterprises can improve safety, efficiency, and sustainability by digitizing their operations. Evan Welbourne leads the AI and Data organizations at Samsara, which includes machine learning, computer vision, data science, and analytics - as well as data engineering and data platform for the company's petabyte-scale IoT data. His current focus is on infrastructure and tools that support and accelerate Samsara's interactions with machine learning, analytics, and intelligent computing systems. Previously, Evan was the Head of ML at Alexa Smart Home and the founder and CEO of AlgoSnap, a company that accelerates the development cycle for edge analytics in the Internet of Things through automated machine learning. Samsara is digitizing the world of physical operations. Think of everything from energy utilities and food distribution to transportation and construction - these are the organizations that keep the world running and represent 40% of GDP. Samsara's cloud platform, IoT sensors, and AI-powered insights make it easy for their customers to act upon massive amounts of data from vehicles, assets, worksites, and heavy equipment. As a result, they can run safer, more efficient, and more sustainable operations. Discover more about AI at https://ai-forall.com More about Samsara: https://www.samsara.com Connect with Evan: https://www.linkedin.com/in/evan-welbourne/ (00:00) Intro (00:39) Evan Welbourne and Samsara (01:07) Understanding physical operations (02:02) Connected operations (02:32) Challenges and opportunities in physical operations (05:23) Impact of AI on frontline workers (07:10) Future of AI adoption in various industries (08:30) Leveraging IoT data for AI applications (09:31) Improving working conditions of frontline workers with AI (11:30) Addressing concerns around data privacy and security (13:10) Feedback and learnings from AI implementations (15:17) Best practices for AI adoption (17:16) Role of LLMs (18:43) Getting started with AI in physical operations (26:23) Evaluating the quality of your data (28:03) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, Jerome Pesenti, CEO and founder of Sizzle and former VP of AI at Meta, joins hosts Ryan Chacon and Neil Sahota to discuss how AI is transforming education. Jerome shares his insights on AI's enormous potential to disrupt education by providing a personalized learning experience. He elaborates on how Sizzle acts as an artificial tutor, adapting to student's interests and providing real-time assistance in problem-solving. Jerome Pesenti is the CEO and founder of Sizzle, the free personalized learning app that leverages AI to help learners work through any problem, step by step. Prior to founding Sizzle, Jerome served as VP of AI at Meta and Vice President of IBM's Watson Platform. He has been involved with artificial intelligence, natural language processing, and search for the past 25 years. Sizzle is a free educational app that uses LLMs to make online learning more personalized, fun, and effective by leveraging the latest advances in AI. Sizzle helps learners work through any homework problem, step-by-step. Discover more about AI at https://ai-forall.com More about Sizzle: https://web.szl.ai Connect with Jerome: https://www.linkedin.com/in/jpesenti/ (00:00) Intro (00:35) Jerome Pesenti and Sizzle (00:59) Jerome's background and experience (02:59) AI at Meta (04:50) AI's role in the Metaverse (09:37) AI's impact on education (11:24) What is an AI tutor? (12:59) AI and personalized learning (17:20) Ensuring accuracy in AI education (19:00) Adopting AI in education (20:10) AI's role in future learning (23:32) AI and accessibility in education (23:59) AI's impact on EdTech (25:15) AI's impact on society (30:41) Learn more about Sizzle SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
In this episode of the AI For All Podcast, hosts Ryan Chacon and Neil Sahota discuss with Juan Sanchez, CIO of Inteleos, about the impacts of AI on companies and practical tips on deploying AI within organizations. They cover the challenges in integrating AI into decision-making, the importance of having a good data foundation, and the influence of AI hype cycles in organizations. Sánchez also shares his insights on the role of AI in the healthcare sector, the ethics surrounding AI, and his advice for companies looking to incorporate AI into their business. Juan Sanchez is the CIO of Inteleos and has over 20 years of experience in the non-profit world. He has worked in design, software engineering, data architecture, and technology management roles. His current focus is on organizational design, helping teams with product development and outcomes-focused strategy. Inteleos is a non-profit certification organization that delivers rigorous assessments and cultivates a global community of professionals dedicated to the highest standards in healthcare and patient safety. They certify over 123,000 professionals across 18 medical certifications in 31 specialties. They represent professionals across 139 countries and those they certify attend to an estimated 1.5 million patients per day across the world. Discover more about AI at https://ai-forall.com More about Inteleos: https://www.inteleos.org Connect with Juan: https://www.linkedin.com/in/juansprofile/ (00:00) Intro (00:25) Juan Sanchez and Inteleos (01:34) What is nuclear imaging? (02:47) The Importance of AI education for companies (05:29) Incorporating AI into business decision-making (08:13) The Impact of AI on job market and career paths (17:25) Navigating AI hype cycles in organizations (23:50) The role of AI in data evaluation and acquisition (26:59) Evaluating and adopting AI solutions (33:06) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Frits Bussemaker, Chair of the Institute for Accountability in the Digital Age, joins Ryan Chacon and Neil Sahota to discuss accountability in the age of AI. They talk about accountability in the digital age, how accountability has evolved, using technology to govern technology, the challenges in establishing global governance for AI, the need for localized governance, AI ethics, and balancing innovation and governance. Frits Bussemaker is the Chair of the Institute for Accountability in the Digital Age, an association instigated by UNESCO in 2017 aimed to help define tools for and manage accountability in the digital age. Bussemaker has been working in the international ICT industry since the 1980s. He began with a Dutch IT startup and held various marketing and alliance positions including at CIONET, where he represented a community of over 7,000 CIOs with international institutes like the European Commission. He is the initiator of the Global Digital Leader Alliance linking over 20,000 digital leaders from China, Europe, India, Japan, South America, and the US. The Institute for Accountability in the Digital Age (I4ADA) was founded in 2017 with the mission to ensure that issues and concerns do not undermine the Internet's potential for increasing access to knowledge, spreading global tolerance and understanding, and promoting sustainable prosperity. In pursuit of its mission of helping the world derive maximum benefit from the internet, the Institute is dedicated to helping create a fair and balanced framework of best practices and, where necessary, regulation. Among other activities, these are the main activities of the Institute: - Create awareness for accountability in the digital age - Reach out to and connect with a global multi-stakeholder community - Provide a platform for knowledge sharing on accountability in the digital age - Promote the various legal instruments, frameworks, and technical solutions being developed for accountability Discover more about AI at https://ai-forall.com More about I4ADA: https://i4ada.org Connect with Fits: https://www.linkedin.com/in/fritsbussemaker/ (00:00) Intro (00:30) Frits Bussemaker and I4ADA (00:54) Understanding accountability in the digital age (03:23) Evolution of accountability over time (04:09) The impact of digital technology on accountability (07:21) Using technology to govern technology (08:56) The importance of accountability in AI (10:28) Challenges in establishing global governance for AI (13:37) The role of ethics in AI governance (18:34) The need for localized governance (23:17) The urgency of accountability in the digital age (25:48) Balancing innovation and governance (26:32) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Clare Stark, UN Coordination Officer at UNESCO, joins Ryan Chacon to discuss the prospect of a global standard for AI ethics. They talk about why AI ethics matters, who is responsible for ethical AI, whether government can keep up with AI innovation, ethical issues specific to generative AI, deepfakes and misinformation, whether governments can be trusted to regulate AI fairly, open source and emerging technology, and the future of AI. Clare Stark is a UN Coordination Officer in the Priority Africa and External Relations Sector at UNESCO, where she is responsible for enhancing UN system-wide coordination on emerging technologies, including on artificial intelligence, biotechnology, and neurotechnology and developing strategic partnerships with UN entities and the private and public sector. She co-chairs the High-Level Committee on Programmes Interagency Group on AI, bringing together 40 UN entities to strengthen the ethical development and deployment of AI to support the 2030 Sustainable Development Goals. UNESCO is the United Nations Educational, Scientific and Cultural Organization. It contributes to peace and security by promoting international cooperation in education, sciences, culture, communication, and information. Discover more about ethics and AI at https://ai-forall.com More about UNESCO: https://www.unesco.org/en Connect with Clare: https://www.linkedin.com/in/clare-stark-44b1a4139/ (00:00) Intro (00:22) Clare Stark and UNESCO (00:37) UNESCO's global AI ethics recommendation (06:39) Why does AI ethics matter? (08:25) How do ethics differ between countries? (09:55) Who is responsible for enforcing ethics in AI? (12:23) Can government keep up with AI innovation? (15:06) Ethical issues specific to generative AI (18:51) Deepfakes and misinformation (21:39) Can government be trusted to regulate AI? (23:29) Open source AI and emerging technology (25:06) How will AI continue to progress? (26:26) Reconciling differing views on ethics (27:47) What should people look out for in AI? (28:49) Learn more about UNESCO SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Lia DiBello, Chief Science Officer at ACSI Labs, joins Ryan Chacon and Neil Sahota to discuss accelerated learning with AI. They talk about the business applications of accelerated learning, cloning expertise, how accelerated learning saved a biotech company from ruin, data-driven decision-making, human cognition, creative thinking, and how fear is learned. Dr. Lia DiBello is the innovator behind the FutureView™ Platform and the cognitive science behind it. Her research was funded by numerous awards from the National Science Foundation, NASA, and the National Academies of Science. DiBello is best known for the development of a particular kind of activity-based “strategic rehearsal” approach that has been shown to greatly accelerate learning through cognitive reorganization. Studies of over 7,000 people at all levels exposed to DiBello's methods indicate that learning was accelerated by several months in all cases. The method is now delivered via the FutureView™ Platform to companies across four continents in industries as diverse as mining, transportation, financial services, IT implementation, manufacturing, and pharmaceuticals. ACSI Labs develops two kinds of applications: smart virtual worlds for wargaming difficult problems in business and accelerated learning and performance solutions for businesses, the military, and law enforcement. Discover more about AI at https://ai-forall.com More about ACSI Labs: https://acsilabs.org Connect with Lia: https://www.linkedin.com/in/liadibello/ (00:00) Intro (00:29) Lia DiBello and ACSI Labs (00:38) What is accelerated learning? (03:16) Role of AI in accelerated learning (06:39) Business applications of accelerated learning (08:33) Cloning expertise (11:29) Saving a biotech company from ruin (14:02) Data driven decision making (16:49) Learning, creative thinking, and fear (21:58) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Rob Knight, Founder and Robot Hardware Director at The Robot Studio, joins Ryan Chacon and Neil Sahota to discuss the state of robotics. They talk about robots versus smart appliances, domestic robots, the ultimate goal of robotics, the dexterity problem, robot use cases, attitudes and safety around robots, plus a robotics demonstration! Rob Knight is a humanoid robot designer and prototyper. Rob has always been fascinated by robots. For the last 20 years, he's designed, prototyped, and displayed humanoid robots full-time for some of the biggest names in tech including Maxon and NVIDIA. Rob is also committed to the democratization of robots and has published two open-source hands to encourage people to get into the world of robotics! The Robot Studio is a workshop that designs and manufactures some of the world's most advanced biologically-inspired robots. Discover more about robotics and AI at https://ai-forall.com More about The Robot Studio: https://www.therobotstudio.com DexHand: https://www.dexhand.org Connect with Rob: https://www.linkedin.com/in/rob-knight-03443789/ (00:00) Intro (00:54) Rob Knight and The Robot Studio (01:07) Current state of the robotics industry (03:09) Robots vs smart appliances (04:50) What is a domestic robot? (07:13) The ultimate goal of robotics (08:13) What technologies enable robotics progress? (09:39) Robotics demonstration (12:11) The dexterity problem (15:02) Robot use cases (20:16) Why haven't robots taken off yet? (22:18) Biologically-inspired robots (25:08) Attitudes and concerns around robots (30:06) Responsibility and safety with automation (34:45) What will move robotics forward? (36:19) Learn more and follow up Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Jannick Malling, co-founder and co-CEO of Public.com, joins Ryan Chacon and Neil Sahota to discuss AI in finance and investing. They talk about what Public does, stock trading, how AI synthesizes financial data, the benefits of AI in investing, the impact of AI on investors and investing, how experienced investors are viewing AI, the new roles AI will create in finance, predicting the irrational behavior of people, and the risks of AI investing. Jannick Malling is the co-founder and co-CEO of Public, the investing platform that allows people to invest in stocks, ETFs, treasuries, crypto, art, collectibles, and more – all in one place. The Danish entrepreneur has a natural drive for making a difference. At the age of 17, he joined Saxo Bank. Two years later, he helped build the fintech company CFH Group, which was eventually sold to Playtech (LON: PTEC) for more than DKK 800 million. As part of CFH Group, he also launched the spin-off company Tradable, the world's first open API trading platform. In 2019, he founded Public, which has gone on to raise over $300 million from investors such as Accel, Lakestar, Tiger Global, Will Smith (Dreamers VC), and other prolific investors such as Maria Sharapova, Tony Hawk, and NFL stars J.J. Watt and Bobby Wagner, and more. Public is on a mission to make the public markets work for all people. The fintech went from founding to unicorn status in less than 3 years, and has been one of the fastest growing financial services apps in America, boasting more than 3 million members since its 2019 launch. 2023 will be a defining year, as this is the year Public has ventured beyond stocks and crypto investing into other asset-classes such as alternatives and fixed income products, and has taken the first steps in its international expansion. Discover more about AI at https://ai-forall.com More about Public.com: https://public.com (00:00) Intro (00:19) Jannick Malling and Public.com (00:27) What Public does and AI in investing (04:57) Advanced trading capabilities for retail investors (08:29) How does AI synthesize financial data? (12:10) Who benefits the most from AI in investing? (15:38) Is AI making people better or worse investors? (22:23) How is AI transforming the investing world? (26:12) How are experienced investors viewing AI? (30:16) What new roles will be created in finance by AI? (33:41) Predicting the irrational behavior of people (37:21) Risks in AI investing (40:43) Learn more about Public.com Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Ismaen Aboubakare, Head of Developer Advocacy at Airkit.ai, joins Ryan Chacon and Neil Sahota to discuss prompt engineering for businesses. They talk about what makes a good prompt, the role of prompt engineers, prompt engineering versus high level programming languages, domain expertise, who hires prompt engineers, getting started with prompt engineering, open source LLMs, and how businesses can start adopting AI. Ismaen Aboubakare is the Head of Developer Advocacy at Airkit.ai. Prior to joining Airkit, Ismaen worked at Microsoft as a Power Platform Customer Engineer and a Consultant. He worked as a software engineer at GE Capital. Ismaen also has several certifications from Microsoft, including Worldwide Communities - Community SME 2020, Accessibility in Action, Architecting Microsoft Azure Solutions, 70-534, and Microsoft 365 Certified: Security Administrator Associate. Airkit.ai, which was acquired by Salesforce, helps brands automate and scale their customer service capabilities using the latest AI agent capabilities powered by generative AI (GPT-4, specifically). Whereas most legacy ‘AI-powered' tools have operated as little more than generic FAQ respondents, businesses can now extend their customer service teams' reach by incorporating AI agents that can do everything from sending a replacement product and issuing a refund to changing an address and rescheduling an appointment. Discover more about prompt engineering and AI at https://ai-forall.com More about Airkit.ai: https://airkit.ai Connect with Ismaen: https://www.linkedin.com/in/ismaen-aboubakare/ (00:00) Intro (00:29) Ismaen Aboubakare and Airkit.ai (00:43) What is a prompt? (02:42) What is a prompt engineer? (05:07) Prompt engineering vs high level programming languages (08:17) The importance of parameters (09:43) The value of domain expertise (11:50) Who hires prompt engineers? (14:27) Getting started with prompt engineering (17:40) Is ChatGPT getting worse? (18:50) Open source LLMs (21:34) Best open source LLM? (23:48) How can businesses start adopting AI? (28:56) Handling privacy (30:55) Learn more about Airkit.ai SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Deep Dhillon, Founder and Chief Data Scientist at Xyonix, joins Ryan Chacon and Neil Sahota to discuss natural language processing (NLP) in artificial intelligence. They talk about the evolution of NLP, knowledge graphs, search engines, the impact of ChatGPT on content creation, prompt engineering, mind states, computer vision, multimodality, and what insights businesses can extract using NLP and AI technologies. Deep Dhillon has a wealth of expertise on AI, ML, and NLP - all of which he brings to bear as Founder and Chief Data Scientist at Xyonix. Deep helps clients accelerate AI-driven innovation in their products by teaching machines how to read, see, listen, and extract valuable insights from their business data. Xyonix teaches machines how to read your content, see what is in your imagery, watch what is in your videos, and understand what is in your data. With this enhanced ability, your custom-built AI and machine learning models can generate insights and make high-value predictions. More about Xyonix: https://www.xyonix.com (00:00) Intro (00:34) Deep Dhillon and Xyonix (00:51) What is natural language processing (NLP)? (01:54) The evolution of NLP (09:06) Defining terms - NLP, NLU, LLMs (11:50) Knowledge graphs (12:42) Search engines (14:16) ChatGPT and content creation (18:03) Prompt engineering (19:47) Mind states (20:34) Expectations set by ChatGPT (22:31) Computer vision (25:26) Training multiple modalities (28:11) Extracting insights using NLP and AI (32:17) Learn more about Xyonix SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Jean-Simon Venne, CTO and co-founder of BrainBox AI, joins Ryan Chacon and Neil Sahota to discuss the current state of enterprise AI adoption and self-operating AI buildings. They talk about how enterprises are viewing AI, using AI for energy optimization, the benefits of AI smart buildings, AI safety, the process for implementing AI in a building, overcoming fear of AI, the global impact of AI, and the exciting future of AI. Jean-Simon Venne is a co-founder and CTO of BrainBox AI. As a technology expert specializing in the fast and efficient migration of technological innovations to commercial applications, Jean-Simon has over 25 years of experience developing and implementing new technology to solve long-standing commercial issues in the fields of telecommunications, biotechnology, and energy efficiency. Prior to joining BrainBox AI, he was responsible for the successful integration of M2M technology in over 200 smart buildings across North America, Europe, and the Middle East. BrainBox AI uses deep learning, cloud-based computing, algorithms, and proprietary processes to support 24/7 self-operating buildings that require no human intervention and enable maximum energy efficiency. BrainBox AI enables a reduction in total energy costs of up to 25% in less than three months, with low to no CAPEX needed from property owners. It also improves occupant comfort by 60% and decreases the carbon footprint of a building by 20-40%. More about BrainBox AI: https://brainboxai.com (00:00) Intro (00:39) Jean-Simon Venne and BrainBox AI (01:10) Current state of enterprise AI adoption (03:09) How are enterprises viewing AI? (05:17) Asset management and optimization (06:58) Balancing the use of energy (08:33) AI in smart buildings and the benefits (11:46) How is AI helping reach sustainability goals? (13:54) Configuring an AI smart building (14:50) AI safety in smart buildings (16:34) Implementing AI in a building (18:22) How building data is handled (19:27) What needs to happen to increase adoption? (21:52) Overcoming fear of AI (25:38) Global impact of AI (29:48) What's exciting about AI (32:12) Learn more about BrainBox AI SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Sateesh Seetharamiah, CEO of EdgeVerve, joins Ryan Chacon to discuss AI in industry 4.0 and digital transformation. They talk about the current state of digital transformation, what makes enterprises more agile, the value of enterprise data, implementing AI models in an organization, the challenges enterprises will experience with AI, and the future of AI and digital transformation. Sateesh Seetharamiah is the CEO of Edge Platforms, EdgeVerve Systems Limited (An Infosys Company), and a board member and Whole-time Director at EdgeVerve. Sateesh is an industry veteran with three decades o experience in entrepreneurship, management consulting, IT leadership, and supply chain. Sateesh believes in AI and Automation's immense potential to transform future enterprises. Being a passionate technologist, Sateesh has been instrumental in establishing many foundational technology capabilities that drive today's EdgeVerve strategy. Powered by native AI and automation capabilities, with security and scalability at the core, EdgeVerve's digital platforms help enterprises discover and automate processes, digitize and structure unstructured data, and unlock the power of the network by integrating enterprises. EdgeVerve drives digital transformation by delivering actionable intelligence and fulfilling their clients' vision of building a connected enterprise. More about EdgeVerve: https://www.edgeverve.com (00:00) Intro (00:19) Sateesh Seetharamiah and EdgeVerve (00:34) Current state of digital transformation (02:57) What makes a company more agile? (05:10) The value of data (09:05) What makes enterprise data useful? (12:57) Implementing AI models in an organization (18:42) What challenges will enterprises experience with AI? (22:13) Role of AI in industry 4.0 (25:26) AI in the future of digital transformation (27:48) Enterprises are already an AI (28:16) Learn more about EdgeVerve SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Andrew Louder, Founder and CEO of Louder Co, joins Ryan Chacon and Neil Sahota to discuss how businesses and startups can leverage AI. They talk about buying an AI solution versus building your own, getting started with AI, managing expectations, dealing with reluctance internally in your organization, new revenue models, and the future of AI in the workplace. Andrew Louder is the Founder and CEO of Louder Co. He started Louder Co to make an impact on his clients and their communities. His company has helped generate over $400 million in profit gains for over 35 organizations across industries from construction to healthcare, all by leveraging AI to optimize their operations and improve productivity and efficiency. Louder Co is a boutique consultancy started in 2016 to help companies increase profits through artificial intelligence and better operations. More about Louder Co: https://www.louderco.com (00:00) Intro (00:42) Andrew Louder and Louder Co (00:55) Buying AI vs building your own AI (03:42) Getting started with AI (06:12) Managing expectations for AI (08:08) Dealing with reluctance about AI (11:31) Industries benefitting from AI (14:28) New revenue models enabled by AI (17:14) How startups can use AI (21:12) Effort needed to integrate AI (24:33) Future of AI in the workplace (26:45) Learn more about Louder Co SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, George Matus, Founder and CEO of Teal Drones, joins Ryan Chacon and Neil Sahota to discuss AI drones and AI in warfare. They talk about the history of drones, the current and potential applications of drones, drone swarms, the ethics of AI drones, drone depiction in popular culture, US-China relations, and the future of drones. Always passionate about flight, George Matus had his beginnings in remote control modeling. He became a test pilot for an RC manufacturer at age 12 and after building a number of custom drones in high school, George started Teal in 2015 to create a new era of flight. Since the company's inception eight years ago, George raised several rounds of venture capital funding, launched four products to market with American manufacturing, and continues to serve as CEO of the company after its acquisition by Red Cat Holdings. Teal's current flagship product is designed to "Dominate the Night" and is being deployed at scale across government and commercial segments around the world. George is a Peter Thiel Fellow, Forbes 30 Under 30 member, has competed on the national television show BattleBots, and holds over a dozen granted patents. Teal Drones, Red Cat's largest subsidiary, is focused on rebuilding America's drone industrial base. The company's overall mission is to accelerate the adoption of drones around the world, and specifically for defense, to give warfighters superhuman capabilities. More about Teal Drones: https://tealdrones.com (00:00) Intro (00:35) George Matus and Teal Drones (01:09) History of drones (02:34) Different types of drones (03:44) Role of AI in drones (04:48) Military vs consumer drones (07:43) Why drones are getting so much attention (09:31) The value of AI drones (11:26) The holy grail of drones (13:15) Engineering challenges of AI drones (15:19) Potential of drones (16:57) Drone swarms (19:45) Ethics of AI drones (22:19) Western vs Eastern views on technology (23:26) Drones in popular culture (25:33) US-China relations (29:02) Future of drones (30:50) Enterprise use cases of drones (32:27) Learn more about Teal Drones Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Adnan Masood, Chief AI Architect at UST, joins Ryan Chacon and Neil Sahota to discuss AI robots and the future of society. They talk about physical vs software robots, the limitations and challenges in robotics, how robots learn, business use cases for AI robots, AI ethics and bias, artificial general intelligence, and what the future of AI robots will be. Adnan Masood is an engineer, researcher, and forward-thinker who is passionate about developing innovative technologies. A thought leader, Dr. Masood's expertise includes scalable enterprise architecture, machine learning, and cloud platforms, particularly Microsoft Azure and AWS. As a Microsoft MVP for Data Platforms, Adnan has extensive experience in developing secure, PCI-compliant fintech solutions, with publications around functional programming, machine learning, and application security. For more than 23 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people, and led by purpose, they partner with clients from design to operation. Through their nimble approach, they identify core challenges and craft disruptive solutions that bring their vision to life. With deep domain expertise and a future-proof philosophy, they embed innovation and agility into clients' organizations - delivering measurable value and lasting change across industries and around the world. With over 30,000 employees in 30+ countries, they build for boundless impact - touching billions of lives in the process. More about UST: https://www.ust.com More about Adnan: https://www.ust.com/boundless/adnan-masood-phd.html Key Questions and Topics from This Episode: (00:00) Intro (00:39) Adnan Masood and UST (00:50) What are AI robots? (02:31) Physical robots vs software robots (07:38) Capabilities and limitations of AI robots (10:04) How are businesses reacting to robots? (14:07) Use cases for AI robots (16:40) Ethics of AI robots (18:40) Are robots necessary for AGI? (22:13) How robots learn (24:50) Will robots replace humans? (28:26) Hybrid intelligence (30:25) Attitudes around robots (31:43) AI bias (36:06) What will the future of robots look like? (38:58) Learn more about Adnan and UST Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Raghu Ravinutala, CEO and co-founder of Yellow.ai, joins Ryan Chacon and Neil Sahota to discuss enterprise LLMs and AI in customer support. They talk about the evolution of AI chatbots, the impact on jobs, updating AI systems, saving and increasing costs with AI customer support, industries leading the way, specialized LLMs, using AI for customer insights, and advice for enterprises deciding to adopt AI. Raghu Ravinutala is the CEO and co-founder of Yellow.ai, a global leader in Conversational AI that delivers autonomous, human-like experiences for customers and employees to accelerate enterprise growth. Since its inception, Raghu and his team have successfully expanded Yellow.ai's presence across North America, Asia-Pacific, Europe, the Middle East, Africa, and Latin America, with 1100+ customers in 85+ countries. Headquartered in San Mateo, Yellow.ai is a global leader in Conversational AI, delivering autonomous experiences for customers and employees to accelerate enterprise growth. Powered by Dynamic AI agents, the company aims to provide human-like interactions that boost customer satisfaction and increase employee engagement at scale, through its no-code platform. More about Yellow.ai: https://yellow.ai Key Questions and Topics from This Episode: (00:00) Intro (00:34) Raghu Ravinutala and Yellow.ai (00:59) Evolution of AI chatbots (06:08) Increasing adoption of AI (08:57) How will AI chatbots impact jobs? (12:19) What makes companies adopt AI chatbots? (17:15) Updating AI systems (20:14) Profiting from AI customer support (22:05) Industries leading AI customer support adoption (25:59) Enterprise LLMs and specialized LLMs (29:51) Advantages of AI chatbots (31:38) Using AI for customer insights (35:11) Advice for enterprises deciding to adopt AI (39:12) Learn more about Yellow.ai Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Zohar Dayan, SVP of Product at Vimeo, joins Ryan Chacon and Neil Sahota to discuss AI in video and the future of content creation. They talk about the history and evolution of AI in video, what videos AI is best for, the demand for video content, automating video creation, the Hollywood strikes, making video accessible to businesses, standing out in a world of AI-generated video, and tailoring video content to different audiences with AI. Zohar Dayan is head of Vimeo's video creation and editing products – enabling the world's leading companies to unlock the power of video for effective marketing and employee communication. He is also the CEO and founder of Wibbitz, the leading automated video creation company that empowers any team to produce professional short-form video, which was acquired by Vimeo in November of 2021. Wibbitz Studio powers video for leading brands including Verizon, Bloomberg, Hubspot, Conde Nast, and S&P Global. Dayan launched several startups at a young age and now has over 20 years of experience in product design and management. Dayan has spoken at SXSW, VivaTech, Mobile World Congress, the World News Media Congress, and European Newspaper Congress, and gave a TEDx talk on breaking old habits to inspire innovation. He was previously selected by Geektime as one of the “Top 5 Israeli Entrepreneurs” and the 40-under-40 list by TheMarker, Israel's leading financial magazine. Vimeo is the world's most innovative video experience platform, enabling anyone to create high-quality video experiences to connect better and bring ideas to life. With a global community of nearly 300 million users, Vimeo empowers everyone — from creative storytellers to globally distributed teams at the world's largest companies — with the ability to create interactive, video experiences. More about Vimeo: https://vimeo.com Vimeo's AI Tools: https://vimeo.com/campaigns/one-take-video Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:37) Intro to Zohar Dayan and Vimeo (00:49) AI in video and history of AI video (02:30) What type of video is AI best for? (05:17) Demand for high quality video content (08:52) Automating video creation (15:22) Hollywood strikes (16:33) Leveling the playing field also raises the bar (18:38) Standing out in a world of AI generated video (20:23) Tailoring video content with AI (21:56) Learn more about Vimeo and its AI tools Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Jim Chappell, Global Head of Artificial Intelligence at AVEVA, joins Ryan Chacon and Neil Sahota to discuss industrial AI and scaling AI globally. They talk about AI policies and guidelines, how governments approach AI policy, AI copyright law, AI and blockchain, the impact of regulation on AI adoption, enterprise AI trends, combining AI with other emerging technology, industrial AI use cases, robots and the impact on jobs, figuring out how to use AI, generative design, and implementing AI on a global scale. Jim Chappell, Global Head of Artificial Intelligence at AVEVA, is a seasoned leader in industrial software with over 25 years of success growing and improving businesses by leveraging cutting-edge capabilities focusing on AI, Advanced Analytics, and IoT / Big Data. Prior to his current position at AVEVA, Jim led the Asset Performance Management (APM) suite of products and related engineering/analytics services for Schneider Electric. He was also a founding partner and managing officer of InStep Software, a global leader in industrial AI-driven Predictive Analytics and Big Data software, which was acquired by Schneider Electric in 2014. AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world's resources. The company's secure industrial cloud platform and applications enable businesses to harness the power of their information and improve collaboration with customers, suppliers, and partners. More about AVEVA: https://www.aveva.com Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:42) Intro to Jim Chappell and AVEVA (00:59) AI policies and guidelines (04:04) How do governments approach AI policy? (06:33) AI copyright (09:12) AI and blockchain (11:17) Impact of regulation on AI adoption (13:30) Enterprise AI trends (17:18) Combining AI with other emerging technology (22:05) Industrial AI use cases (24:57) Robots and impact on jobs (31:30) Figuring out how to use AI (34:55) Generative design (40:05) AI on a global scale (43:29) Learn more about AVEVA Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial
On this episode of the AI For All Podcast, Michelle Zhou, Co-Founder and CEO of Juji, joins Ryan Chacon and Neil Sahota to discuss cognitive AI. They talk about the benefits of cognitive AI, artificial empathy, robots vs chatbots, psychographics in AI, why enterprises should adopt cognitive AI, no-code AI, AI as an assistant, and the future of AI. Dr. Michelle Zhou is a co-founder and CEO of Juji. Prior to starting Juji, Michelle led the User Systems and Experience Research (USER) group at IBM Research – Almaden and then the IBM Watson Group. Michelle's expertise is in the interdisciplinary area of intelligent user interaction (IUI), including conversational AI systems and personality analytics. She is an inventor of the IBM Watson Personality Insights and has led the research and development of at least a dozen products in her areas of expertise. Michelle has published over 100 peer-reviewed, refereed scientific articles and 45+ patents. Michelle is the Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems (TiiS) and an Associate Editor of ACM Transactions on Intelligent Systems and Technology (TIST). She received a PhD in Computer Science from Columbia University and is an ACM Distinguished Scientist. Juji is an AI company located in Silicon Valley, specializing in building cognitive conversational AI technologies and solutions that enable the creation and adoption of empathic and empathetic AI agents. Their goal is to democratize AI and enable every organization, with or without AI or IT resources, to rapidly generate, customize, and operate AI beings that help scale out their high-touch, high-stakes services with a human touch. More about Juji: https://juji.io/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:15) Intro to Michelle Zhou and Juji (01:48) What is cognitive AI? (03:00) Benefits of cognitive AI (05:03) Artificial empathy (16:28) Robots vs chatbots (19:26) Psychographics in AI (27:13) Why should enterprises adopt cognitive AI? (31:31) No-code AI (35:19) AI as an assistant (37:13) Future of AI Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Frank Pica, Co-Founder and CEO of Native AI, joins Ryan Chacon and Neil Sahota to discuss AI and digital twins. They talk about AI in marketing, creating digital twins of customers, generative AI, bringing AI to your business, data and privacy, social media, the impact of ChatGPT, and the future of AI and digital twins. Frank Pica is the Co-Founder and CEO of Native AI. Pica brings over a decade in the AI space, specializing in intelligent marketing and advertising. Before founding Native AI, Pica launched Adyoulike, a contextual targeting AI solution for arm brands and Decide Technologies, a marketing intelligence company. He also served as a board member at Vertebrae prior to Snap, Inc.'s acquisition. Native AI is an always on market intelligence platform that helps businesses understand, innovate, and create ideal experiences for their customers. Native's proprietary digital twins use generative AI to create clones of a brand's target customers and consumers to enable real-time engagement and consumer insights. More about Native AI: https://www.gonative.ai Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:16) Intro to Frank Pica and Native AI (01:33) AI and digital twins (03:38) Digital twins of customers (05:40) Where does generative AI fit in? (07:12) AI and digital twins adoption - what's changed? (09:48) Trust in AI (10:48) Bringing AI to your business (14:16) Data and privacy (20:03) Social media and data collection (23:26) Companies paywalling their data (26:29) Open source versus proprietary AI models (27:40) Is crowdsourcing the future? (29:45) How accurate does AI need to be? (30:40) How has ChatGPT impacted business interest in AI? (33:47) Why was ChatGPT so successful? (34:57) Future of AI and digital twins Watch on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Adam Kamor, co-founder and Head of Engineering at Tonic.ai, joins Ryan Chacon and Neil Sahota to discuss synthetic data for machine learning models. They talk about structured vs unstructured data, the limits of synthetic data, synthetic data examples and use cases, when not to use synthetic data, data risks and privacy, prompt engineering with synthetic data, industries using synthetic data, differential privacy, computer vision, and digital twins. Adam Kamor, PhD, is Co-Founder and Head of Engineering of Tonic.ai. Since completing his PhD in Physics at Georgia Tech, Adam has committed himself to enabling the work of others through the programs he develops. In his roles at Microsoft and Kabbage, he handled UI design and led the development of new features to anticipate customer needs. At Tableau, he played a role in developing the platform's analytics/calculation capabilities. As a founder of Tonic.ai, he is leading the development of data generation solutions that are transforming the work of fellow developers, analysts, and data engineers alike. Tonic.ai is the fake data company. They mimic your production data to create de-identified, realistic, and safe data for your test environments. More about Tonic: https://www.tonic.ai Connect with Adam: https://www.linkedin.com/in/adam-kamor-85720b48/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:54) Intro to Adam Kamor and Tonic.ai (01:11) What is synthetic data? (03:45) Structured vs unstructured data (06:54) Synthetic data examples (09:58) Limits of synthetic data (11:47) When not to use synthetic data (13:05) Synthetic data use cases (15:22) Potential of synthetic data (17:39) Data risks and privacy (19:30) Prompt engineering with synthetic data (21:11) What industries use synthetic data? (23:08) What is differential privacy? (24:22) Synthetic data, computer vision, and digital twins (27:13) Learn more about Tonic.ai Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Richard Barnes, CEO of Select Research and inventor of the Body Volume Index (BVI), joins Ryan Chacon and Neil Sahota on the AI For All Podcast to discuss AI in healthcare and measuring human health. They talk about the applications of BVI, how AI is diagnosing health issues, longevity, measuring health in real-time, using AI with wearables, training AI models with diverse datasets, reunifying medical information with AI, and using AI to understand the health of a population. Richard Barnes is the inventor of the Body Volume Index (BVI), a digital weight measurement developed over the past 15 years as an alternative to the Body Mass Index. BVI produces over 200 measurements just from two digital images of a person to measure weight distribution, body composition, and much more. AI is being integrated to provide insight into the differences in our body shapes across nations to work out who we are and what we are. Select Research has been a pioneer in measuring human body shape for over 25 years. They have managed major national sizing surveys for clothing retailers using 3D technology to measure the outside of our bodies. In 2007, Select patented the Body Volume Index (BVI) to measure the inside of the body for healthcare and this has been developed since then with international academic and scientific partners, including Mayo Clinic. More about Select Research: https://www.bodyvolume.com Connect with Richard: https://www.linkedin.com/in/richard-barnes/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:10) Intro to Richard Barnes and Select Research (01:29) How AI is being used to measure people (02:16) What are the applications of BVI? (09:26) How is AI diagnosing health issues? (11:52) Will AI measure our health in real-time? (13:57) Using AI with wearables (15:05) Training AI models with diverse datasets (16:16) AI in healthcare (21:20) Will AI reunify medical information? (23:26) How will AI be used to understand population health? SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Manasi Vartak, CEO of Verta, joins Ryan Chacon to discuss AI governance, AI regulation, and AI bias. They talk about generative AI and its risks, reducing AI bias, responsible AI, and how regulation will impact AI adoption. Manasi Vartak is the founder and CEO of Verta, the Menlo Park, California-based provider of the Verta Operational AI platform and Verta Model Catalog. Manasi invented experiment management and tracking while at MIT CSAIL when she created ModelDB, the first open-source model management system deployed at Fortune 500 companies and the progenitor of MLflow. After earning her PhD from MIT, Vartak went on to data science positions at Twitter, where she worked on deep learning for content recommendation as part of the feed-ranking team, and Google, where she worked on dynamic ad-targeting, before founding Verta. Emerging from the AI innovations at MIT, Twitter, NVIDIA, Google, and Facebook, Verta, based in Silicon Valley, specializes in Model Catalog, Model Lifecycle Management, and AI portfolio management. Since its inception in 2018, it has served Fortune 500 companies and digital pioneers, and was recognized as a 'Gartner Cool Vendor AI Core Technologies' in 2022. More about Verta: https://www.verta.ai Connect with Manasi: https://www.linkedin.com/in/manasi-vartak/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:13) Intro to Manasi Vartak and Verta (01:44) What is generative AI? (02:52) Current state and future of generative AI (04:05) Generative AI risks (05:32) AI bias (06:54) Reducing AI bias (10:58) What makes generative AI possible? (12:34) AI governance and responsible AI (15:30) Who is responsible for making AI responsible? (18:41) AI regulation (23:52) How will regulation impact AI adoption? (27:51) Will we struggle to govern AI in the future? (28:37) Learn more about Verta Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Nandan Nayampally, CMO at BrainChip, joins Ryan Chacon and Neil Sahota to discuss edge AI, neuromorphic computing, and AI hardware. They talk about the benefits and trade-offs of edge AI, neuromorphic chips and computing, the economics of hardware, top AI applications, AI in health, and future opportunities in AI. Nandan Nayampally is an entrepreneurial executive with more than 25 years of success in building or growing technology businesses with industry-wide impact. He was at Arm for more than 15 years in a variety of product marketing and product management leadership roles, eventually becoming vice president and general manager of Arm's signature CPU group and the Client Line of Business where he identified key technology investments, developed a strategy and roadmap of products to deliver compelling, market-leading solutions for billions of SoCs, while establishing strategic partnerships and alliances. Nayampally comes to BrainChip from Amazon, where he helped accelerate the adoption of Alexa Voice and other multimodal services into third-party devices. BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company's first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers' products, as well as the planet. More about BrainChip: https://brainchip.com Connect with Nandan: https://www.linkedin.com/in/nandannayampally/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:13) Intro to Nandan Nayampally and BrainChip (01:25) What is edge AI? (04:09) Benefits of edge AI (06:25) Edge AI trade-offs (08:23) Is hardware the next frontier? (10:38) Investment in neuromorphic chips (13:31) What is neuromorphic computing? (15:32) Impact and economics of hardware (18:48) Long-term benefits for business (21:12) Implications of edge AI and decentralization (24:58) Top AI applications (26:16) AI in health (30:28) Data sources for enterprise AI (34:16) Future opportunities in AI (36:28) Learn more about BrainChip Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Scott Sandland, CEO of Cyrano.ai, joins Ryan Chacon and Neil Sahota to discuss LLMs, AI agents, deep fakes, and psychographics in AI. They talk about how companies will utilize LLMs, public trust in LLMs, human-like AI, digital twins, inducing oxytocine over dopamine in future technology, sentiment analysis, and how AI can reduce loneliness in society. Scott Sandland is the former world's youngest hypnotherapist and the former CEO of a mental health clinic helping at risk teens and drug addicted adolescents. Because of his vision to help more people at scale, Scott shifted his focus and has become a multi-patent inventor in Artificial Intelligence. Now, as the CEO of a company focusing on strategic empathy and linguistic analysis, Scott uses his AI system to empower people having high-value conversations. He has been published in numerous peer-reviewed medical journals and has had his work at Cyrano mentioned in the Harvard Business Review, Psychology Today, Forbes, Entrepreneur Magazine, and more. Many tens of thousands of people have used his AI software to date. Cyrano.ai uses proprietary language models to understand a person's values, priorities, motivations, and commitment levels in real time. From there, it gives actionable insights to increase rapport and understanding as well as strategic advice to increase conversion or follow through. While the commercial applications of Cyrano are obvious in sales, the primary goal is to empower the conversations around healthcare and mental health. More about Cyrano: https://www.cyrano.ai Connect with Scott: https://www.linkedin.com/in/scottsandland/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:15) Intro to Scott Sandland and Cyrano.ai (01:29) What are Large Language Models (LLMs)? (02:01) How will companies utilize LLMs? (05:18) Psychographic profiles (08:07) Do people trust LLMs? (10:23) Human-like AI (14:41) Deep fakes and digital twins (17:30) AI agents (23:07) Dopamine vs oxytocin (27:31) Sentiment analysis (29:58) Why aren't psychographics used more in AI? (32:12) Why Scott started working in AI (33:25) Can AI reduce loneliness in society? (40:01) Learn more about Cyrano.ai Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On this episode of the AI For All Podcast, Peter Voss, CEO & Chief Scientist at Aigo.ai, joins Ryan Chacon and Neil Sahota to discuss AI chatbots, ChatGPT, and artificial general intelligence. They talk about how chatbots with a brain compare to average chatbots, why more people aren't working on AGI, the benefits of AGI, the business need for AI chatbots, using ChatGPT for business, GPT and memory, trusting AI chatbots, modeling the mind, and the future of AI chatbots. Peter Voss is the CEO and Chief Scientist at Aigo.ai. For the past 15 years, Voss and his team at Aigo have been perfecting an industry disruptive, highly intelligent, and hyper-personalized chatbot with a brain for large enterprise customers. Aigo.ai presents the most intelligent AI chatbot that acts as an enterprise digital assistant, enhancing customer experience. More about Aigo.ai: https://aigo.ai Connect with Peter: https://www.linkedin.com/in/vosspeter/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:55) Intro to Peter Voss and Aigo.ai (01:14) Chatbots with a brain versus average chatbots (03:11) What is Artificial General Intelligence (AGI)? (05:25) Why aren't more people working on AGI? (08:06) Benefits of AGI for business (10:28) What was the business need for AI chatbots? (12:21) Applications of AI chatbots (15:15) ChatGPT and use in business (19:12) GPT and memory (22:38) Benefits of AI chatbots (26:13) Trust issues with AI chatbots (28:38) Automation vs innovation (31:03) Modeling the mind in a chatbot (34:52) The future of AI chatbots (37:30) Learn more about Aigo.ai Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
On the first episode of the AI For All Podcast, Martin Cordsmeier and Max Weidemann from millionways join Ryan Chacon and Neil Sahota to discuss emotionally-intelligent AI, artificial empathy, and AI ethics. They talk about the applications of emotionally-intelligent AI, whether AI is more empathetic than the average person, AI in mental health, using AI to understand one's self, and whether AI should be able to make decisions autonomously. Martin Cordsmeier is the co-founder and CEO of millionways, which began as a non-profit organization. As millionways grew, it pivoted to for-profit, and Martin moved to the US with his co-founder. Martin published a book about his belief that mental health starts with understanding yourself and your unconscious traits and patterns. Max Weidemann is the co-founder and CTO of millionways. After graduating from Goethe University in Frankfurt, Germany with a Master's degree in Mathematics, he became a self-taught full-stack developer primarily interested in Applied Machine Learning and AI. After co-founding the start-up, millionways, with Martin in Germany, he moved to the US to further develop, scale, and market their technology. millionways brings emotional intelligence to AI. millionways' technology can be used to give any platform the ability to learn its users' unique personality traits, hopes, fears, and ambitions and to ultimately create a deeply personalized user experience, with explainable outputs and more nuanced and empathetic than the typical AI black box. More about millionways: https://millionways.me Connect with Martin: https://www.linkedin.com/in/cordsmeier/ Connect with Max: https://www.linkedin.com/in/max-weidemann/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (00:44) Intro to Martin, Max, and millionways (01:04) What is emotionally-intelligent AI? (05:05) Artificial empathy and psychological AI (08:17) Applications of emotionally-intelligent AI (09:44) Is AI more empathetic than humans? (13:56) How is AI helping with mental health? (16:09) The evolution of emotionally-intelligent AI (18:35) Domain expertise (23:18) Using AI to understand yourself (25:36) Will humans ever have to empathize with AI? (28:16) Danger of AI that has only one goal (29:28) Do humans need to believe the AI understands them? (31:49) Ethics of personal AI (34:29) Should AI make decisions? (40:24) AI ethics, politics, and negotiation (42:37) Learn more about millionways Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall
The AI For All Podcast is your all-in-one podcast for all things AI. Hosted by Ryan Chacon and Neil Sahota, the podcast brings together a wide range of perspectives on artificial intelligence (AI), machine learning, data science, and robotics. Hear from AI companies about their latest advancements, learn from experts in the field including researchers, academics, and industry leaders, and encounter unique perspectives from artists, philosophers, and entrepreneurs. Ryan Chacon has spent over a decade designing, building, and growing technology startups. He is also the host of the popular IoT For All Podcast. Neil Sahota is the AI Advisor to the United Nations, an IBM Master Inventor, and author of the best-selling book "Own the AI Revolution." He is a sought after public speaker and co-founded the UN's AI for Good initiative. From the creators of IoT For All, AI For All is dedicated to providing the highest-quality content, resources, and news centered on the AI industry. The goal of AI For All is to make AI accessible to everyone by providing a broad educational platform where individuals, companies, and experts can share their knowledge and experience. Follow or subscribe to the podcast to stay ahead of AI! Join Our Newsletter: https://ai-forall.com Follow Us: https://linktr.ee/aiforallofficial
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