AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

Paul Lee, serial entrepreneur and co-founder of Synesis One, combined his love of games with a passion for NLP and AI. He realized language ontologies can be developed by players solving problems in games. They can be rewarded with NFTs backed by tokens on a blockchain. A brilliant idea... from a Renaissance man who is also a medical doctor and the founder of a care marketplace for veterinarians. This is a fascinating one!  Listen and learn... The future of large language models  (LLMs) How ontologies can be crowd-sourced using games with NFTs as rewardsHow Synesis One is gamifying data yield farming with tokens on a Solana blockchainAbout the first graphic novel that is also an NFT-based sci fi gameWhy Paul selected  Solana instead of the more popular Ethereum blockchainHow to mitigate bias from entering ontologies generated by gamersReferences in this episode:Synesis OneMind AIQuantum NoesisEdmundo Gonzalez from Marpai Health on AI and the Future of Work 

Phil Johnson, founder and CEO of Master of Business Leadership (MBL) and veteran tech exec, overcame adversity as a kid when he was diagnosed with dyslexia. Phil taught himself to learn differently. He has helped organizations generate more than $1.5B by teaching leaders how to improve their emotional intelligence.Listen and learn...Why emotional intelligence is the most important skill for leaders.Why Phil says leaders battle our "500 million year old brain that doesn't like change."What Phil means by this: "we're the virus on the planet and we need to adapt to change to survive as a species."Why toxic environments are leading to record low employee engagement that is costing businesses over a trillion dollars per year.What Phil means by "we're born with an unconscious mind that gets wired as we grow to form habits."How leaders can endure pain and channel passion to get more energy and feel more motivated.How Apple's hiring practices and Putin's invasion of Ukraine are related.Questions to ask to hire candidates with the highest EQ.References in this episode...Matt K. Parker on AI and the Future of Work discussing "radical enterprises"The Master of Business Leadership program

Dipanwita ("D") Das, Founder and CEO of Sorcero, is an award-winning technology entrepreneur and AI innovator.  She is the CEO & Co-founder of Sorcero, a venture-backed AI Saas product startup, focused on using AI and NLP to inform critical decisions to improve lives.  Prior to starting Sorcero, D was the founder & CEO of 42 Strategies, managing digital transformation projects for Richard Branson's Virgin United, Al Gore's Climate Reality Project, and Bloomberg Philanthropies. Listen and learn...Why D says "...doing something that leaves a legacy of good" is a core element of Sorcero's mission.What D means by "...humans plus AI is greater than humans alone."How Sorcero strives to "accelerate vs. automate" decisions.How Sorcero helped doctors diagnose a rare form of metastatic breast cancer and save a life.What it means for patients that healthcare data is growing at a 36% CAGR.How Sorcero marries heuristics with NLP and transfer learning to help researchers. D's advice to females in male-dominated fields: "The only way to win is to persist."References in this episode...The Sorcero Life Sciences Intelligence PlatformD on TwitterPaddy Padmanabhan on AI and the Future of Work

Christopher Nguyen, serial entrepreneur and CEO of Aitomatic, realized big data isn't the only answer when training AI models. In fact, when doing preventive or predictive maintenance on industrial equipment, only small data is available. He and his team asked what if instead of relying on automated data collection we codify expertise in the heads of a small number of experienced technicians. And thus human-first AI was born. Aitomatic was launched in 2021 to productize the new field. It builds on Christopher's legacy of innovation having spent time in academia, at Google, and other startups including Arimo before its acquisition by Panasonic.Listen and learn...Why human-first vs. data-first AI may disrupt traditional approaches to machine learning.How automation problems in physical-first vs. digital-first industries require different solutions.How to build machine learning models when there isn t enough data.Why the world is in short supply of human expertise.How people feel about having their jobs automated away.Why the topic of ethical AI is controversial.The science behind neuromorphic computing.References in today's episode...AitomaticChristopher on TwitterGordon Wilson, CEO of Rain Neuromorphics, on AI and the Future of WorkThanks to Tess Hau from Tess Ventures for the introduction to Christopher! 

Matt K. Parker, author and engineering leader formerly at Pivotal Labs, profiled 13  collaborative work cultures in his book A Radical Enterprise. They're devolving control to employees and rethinking traditional organizational structures to give teams unprecedented levels of freedom. Not surprisingly, they're more successful than their peers. Listen and learn:What is a radical enterprise and what is radical collaboration?Why do employees do better work when they have freedom to define their own rules?What are the benefits of embracing the concepts of self-organizing and self-managing teams?Why do traditional performance management techniques like annual reviews create implicit threats in the workplace that demotivate employees?What does it mean to make every employee "a company of one"?Why, according to Deming, "a bad system will beat a good employee every time."References in this episode:Matt's website and a link to his Slack communityA Radical Enterpise published by IT RevolutionGary Bolles on AI and the Future of WorkJason Corsello from Acadian Ventures on AI and the Future of WorkTurn the Ship Around by L. David Marquet

Jaime Ramirez, CEO and Founder of Preventor, and stalwart of the Miami tech scene, shares how banks and brands are using new authentication technology to make life online safer. Automating authentication to verify age and other personal attributes is cheaper than manual verification and also more accurate. The stakes are high if automated decisions are wrong.  Hear Jaime explain the best way to automate the process of verifying your age or gender with AI.Listen and learn:How banks are automating authentication processes to comply with know your customer (KYC) and anti-money laundering (AML) regulatory requirementsHow the US compares with other countries, specifically Latin America, when it comes to KYC compliance and enforcementWhen it's ok to use technology to automate identity verification vs. when humans need to interveneWhich forms of biometric data are most accurate for identity verificationHow to mitigate the risk of bias when using AI plus selfies to verify ageWhen we'll finally move beyond passwords for identity managementWhat's fueling the net outflow of tech talent from Silicon Valley to MiamiReferences in this episode:John Whaley from UnifyID on AI and the Future of WorkJaime's blog postsPreventorPrivy

Edmundo Gonzalez, Co-founder and CEO of Marpai Health, realized our health plans have a significant impact on the quality of our health. Using AI to predict who will need care and when can lead to better health care plans and a healthier population. Edmundo's on a mission to make it easier for all of us stay healthy... which first requires the traditional healthcare system to be disrupted.Listen and learn:How to turn America's "sickcare" system into a true "healthcare" system.How AI can make better decisions about who is likely to need care and when.How to use data to recommend treatment early to prevent significant, more costly procedures later.How to optimize deep learning models using patient data to balance accurately predicting who will need care (precision) with how many recommendations are made  (recall).The ethical implications of using patient data to make healthcare decisions.Why Big Tech doesn't own the future of healthcare.References in this episode:Paddy Padmanabhan on AI and the Future of WorkMarpai Health 

Doug Kerwin is an engineering leader and entrepreneur who recently published "Riley and Bot: Jobs for Robots and Jobs for Me". By day, he's a Vice President of Cloud Engineering at Prudential. After hours, he's a dad who wants the best for his daughter and needed to answer her questions about the impact of AI on jobs.Listen and learn...What inspired an engineer without an AI background to write a kids book about AIWhy Doug concludes that "no job will be completely AI-resistant"New careers that are being created by the introduction of AI-related technologyHow GitHub Copilot is helping programmers write better code fasterWhich innately human skills will never be automatedReferences in this episode:Riley and Bot: Jobs for Robots and Jobs for Me Woebot HealthGitHub Copilot

Phil McKinney, former HP CTO and one of the "50 most innovative" thinkers on the planet according to Fast Company, has helped develop products used by more than a half billion people.  Hear Phil put on a master class in how to turn ordinary teams into innovation machines.Listen and learn...Phil's seven rules of innovation.What it means to have a "T-shaped" career... and why you should want one.How Phil got his start in podcasting... in 2005! Phil's secrets for how to become more creative. The top skill CEOs look for in new hires. References in this episode:Phil's TEDx talk on the impostor syndromeBob Davis, Phil's mentorPhil's websitePhil's Killer Innovations podcastThanks to Dr. Mamoun Samaha for the introduction to Phil.

Rene Steenvoorden, Chief Digital Officer (CDO) at HR behemoth Randstad, started in IT 30 years ago when technology was a distraction and IT gear was relegated to server rooms in the basement. He's a two-time CIO of the year award winner and a visionary in HRTech.  Rene's an evangelist for using technology to improve the employee experience having served in similar roles at Rabobank, McKinsey, and Procter & Gamble.  You might ask why a 60-year old staffing firm needs a CDO. Well, you won't after meeting Rene! Listen and learn: How chatbots are eliminating the "black hole of recruiting"Why you may land your next job in the metaverseThe single biggest factor that determines how candidates rate the recruiting processWhich disruptive technologies are improving the hiring processWhy retaining existing employees is much less expensive than recruiting new ones The role of technology in blue collar vs. white collar hiring processes How to mitigate the impact of bias when training ML models to select candidatesReferences in this episode:Randstad's future of work insightsBryan Talebi from Ahura AI on AI and the Future of WorkPanos Siozos from LearnWorlds on AI and the Future of Work