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