I had a fabulous discussion with Rajeev Ronanki, SVP at Elevance Health on Healthcare, the current exponential technology age, risks and opportunities and the current market. Rajeev is a brilliant thought leader and builder at heart and has really pioneered an AI-first approach to healthcare at Anthem, delivering disruptive value to shareholders, providers and patients! Chapters: 00:00 Introduction 02:45 Exponential Technology Age 08:45 Our Current Healthcare System 12:00 Why AI is the Solution for Healthcare 19:00 Risks with AI and Healthcare 26:10 Journey of Elevance 34:45 Driving Digital Transformations 39:45 Unsolved Problems 42:45 Wrap Up Rajeev's bio: Rajeev Ronanki is the SVP at Elevance Health (parent company of health plans such as Anthem, Blue Cross and Blue Shield). Ronanki is responsible for creating and driving plans to commercialize digital capabilities for consumers, care providers, and the health ecosystem as we reinvent care delivery, operations, and interactions. To achieve this transformation, he drives the vision, strategy, and execution of Elevance Health’s digital-first approach across the organization’s digital, artificial intelligence (AI), exponential technology, service experience, and innovation portfolios. He is reimagining the future of healthcare by enabling Elevance Health to harness the power of AI and data to provide consumers predictive, proactive, and personalized insights into their health. Rajeev has written a book: You and AI: A Citizen’s Guide to AI, Blockchain, and Puzzling Together the Future of Healthcare. You can read more on the links below. https://rajeevronanki.com/ https://www.linkedin.com/in/rajeevronanki/ https://twitter.com/RajeevRonanki

Thank you for all listeners and viewers to supporting, sharing and providing feedback, thanks to all of the guests for sharing their insights and perspectives. And thanks to AI for making it all worth having a conversation about. Incredibly grateful for everyone's support and hope to accelerate more in 2023 with more conversations, community and impact with AI.

This latest Stories in AI episode features my good friend, Whurley, Founder and CEO of Strangeworks, Founder/GP at Ecliptic Capital. It was amazing to talk to Whurley and discuss the future of quantum computing and the forces driving change in the sector. Please be sure to like and subscribe for more content, and I hope you really enjoy this episode! Chapters: 00:00 Introduction 04:40 What is Quantum Computing 11:35 Advancement of Computing 14:55 Classical Problems 20:30 Quantum Roadblocks 24:40 Current State of Quantum 28:45 Machine Learning & Quantum 32:00 How to Learn About Quantum 33:30 Wrap Up Whurley's Bio: William Hurley "whurley" is founder and CEO of Strangeworks, a quantum computing startup based in Austin, Texas. Whurley’s career has spanned over 25 years, founding startups such as Honest Dollar and Chaotic Moon Studios, as well as working in technical leadership roles for Apple, IBM, and Goldman Sachs. Prior to founding Strangeworks,Whurley was managing director at Goldman Sachs which he came to through the acquisition of Honest Dollar; a fintech startup that offers a retirement savings platform that simplifies and brings transparency to the investment products available for a range of consumers. Whurley is dedicated to fostering collaboration and establishing unified metrics and standards across the quantum computing community. He partnered with StackOverflow to create the world’s largest community of quantum computing developers, and currently serves as the Chair of the Quantum Standards Working Group at the Institute of Electrical and Electronics Engineers (IEEE). He is leading the development of the first quantum commuting standards, PAR7130 “Standard for Quantum Computing Definitions” and PAR 7131 “Standard for Quantum Computing Performance Metrics for Performance Benchmarking”. Whurley is committed to making quantum computing more accessible and improving quantum literacy. His latest book, "Quantum Computing For Babies," offers simple explanations of quantum computing for the youngest audiences and is one of the best selling books on quantum computing. His upcoming book, Endless Impossibilities, continues his mission of improving quantum computing literacy and helps readers understand the potential of quantum computing. Whurley is a regular contributor to TechCrunch and regularly speaks around the world on the potential power and impact of quantum computing and what quantum needs to succeed. He has received numerous awards and recognitions including being named a 2018 Eisenhower Fellow, the 2012 International Genius Grant recipient, and an IBM Master Inventor. Whurley is an advocate and works on a range of issues he cares about, including diversity and equality. Whurley is a founding partner of UN Women; ‘EQUALS’: The Global Partnership for Gender Equality in the Digital Age bringing together partners across sectors to bridge the gender gap in technology by championing equality of access, skills development, and career opportunities. Find Whurley at: LinkedIn: https://www.linkedin.com/in/whurley/ Twitter: https://twitter.com/whurley A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology, and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world’s leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world.

On the latest Stories in AI episode, I sit down with Chirag Shah, a professor at the University of Washington and Co-Director of RAISE (Responsible AI Systems and Experiences). As someone who has tremendous experience in both the research and industry side of AI advancement, Chirag provides us with an extremely unique perspective on the current market. We talked about the negative consequences that come with increasingly powerful AI tools and how to solve them Chapters: 00:00 Introduction 04:00 Automation vs Augmentation 07:25 Progress in Computer Vision 13:25 Negating Negative Effects of AI 26:17 Most Successful Uses of Responsible AI 40:21 Future of AI 46:18 Artificial Super Intelligence 48:05 Wrap Up Chirag's Bio: "I am a Professor at the University of Washington (UW) in Seattle. My research interests include search and recommender systems specifically focused on task-based applications, conversation AI, user experience, multi-objective optimization, and cold start problems. While I apply various Data Science and Machine Learning techniques to make systems "smart", I also care about reducing biases and increasing fairness in search/recommendation and in general in ML/AI systems. I primarily teach in Information Science and Data Science programs - at the undergraduate and graduate levels. I also work closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Spotify (2018), Amazon (2019), Microsoft Research AI (2020), and Getty Images (2021). Some of the problems I have worked on recently include zero-intent and zero-query recommendations (cold start problems), marketplace fairness, and task/journey/mission-based ranking and recommendation. A few of these have led to solutions, features, and products that now affect hundreds of millions of customers in dozens of markets." Find Chirag on: LinkedIn: https://www.linkedin.com/in/shah-chirag/ Twitter: https://twitter.com/chirag_shah?lang=en A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology, and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world’s leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world.

In this episode recorded a few weeks ago, I am joined by Charles Franklin, SVP & Head of Products, Analytics & AI at Experian. We dived into a variety of topics including how Experian is disrupting traditional markets with AI, the drawbacks of utilizing AI, and much more. Chapters: 00:00 Introduction 01:50 Disruption at Experian 03:50 AI Market Today 09:15 Drawbacks of AI 17:30 Developing an AI Strategy 22:25 Which Industries are Leading the Charge 28:10 Unsolved AI Problems 34:00 Wrap Up Charles Bio: Charles Franklin is the SVP of product development for Global Analytics & AI, including Ascend Intelligence Services. He has been with Experian since January 2021 and is working with teams across DA, CIS and Health to build our next generation of analytics solutions. Before joining Experian, Charles was a Partner at Oliver Wyman, where he led the global data science practice. He was a founding member of Oliver Wyman Labs, a business unit creating analytics-powered applications across sectors including finance, travel and retail. Charles moved from the UK to the US in 2014 and now lives in San Francisco with his wife and son. They enjoy exploring the Bay Area by foot or by kayak, as well as trips home to London and France. Find Charles at LinkedIn: https://www.linkedin.com/in/charles-franklin-90a58357/ A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology, and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world’s leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world.

In this episode of the Stories in AI podcast, I sit down with Jesse Barbour, Chief Data Scientist of Q2ebanking. At their company, Jesse and the team are working to revolutionize the way financial institutions interact and transact with their customers. With this, Jesse provides valuable insight to what it takes to build effect machine learning models to detect fraud and bias. Hope you enjoy it! Chapters: 00:00 Introduction 03:10 What is Q2ebanking Doing? 07:35 Fraud Detection Using Machine Learning 11:15 Learning to Solve Problems Around Fraud 15:35 Successful Model Building 23:10 Doing AI in a Responsible Way 27:50 Managing Bias 34:46 Advice for Data Scientist Attempting to Solve Problems 39:40 Wrap Up Jesse Bio: Jesse Barbour is the Chief Data Scientist at Q2ebanking. He uses machine learning to discover hidden structure, insight, and value from data. His work has paved the way for multiple ground-breaking products including Sentinel, Q2’s flagship security offering, and SMART, the company’s targeting and messaging platform. Jesse’s 14 years in the financial services industry have been driven by a relentless passion to deliver technologies that have a fundamental, positive impact on individuals and communities. A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, using advanced analytics, decisioning technology, and fraud prevention tools. We help businesses to make smarter decisions and thrive, lend more responsibly, and prevent fraud and financial crime. As the world’s leading repository of consumer credit data, Experian is transforming data into solutions that facilitate transactions, ensure financial safety and improve the financial lives of millions of consumers around the world.