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

Dr. Mamoun Samaha, CTO at the International Technological University and Professor of Computer Science at Northeastern University, is an operator and academic with a long track record of success in the classroom and board room. His research spans the areas of mobility, security, and networking. He has strong opinions about what it means to be human in an age of automation. Worth a listen to hear his insights about how technology will change our lives in the next decade. Listen and learn...What's required to be a great CTO.Why Dr. Samaha says "change is now exponential... it's no longer linear." Why AI-powered security solutions at the edge of the network are critical.Tips for startups selling technology to CTOs.The one product Dr. Samaha would purchase today if it existed.The skills every high schooler should learn that will never be replaced by AI.References in this episode...Phil McKinney, Dr. Samaha's role modelJohn Whaley on AI and the Future of WorkIntrinsic ID

Paddy Padmanabhan, CEO of Damo Consulting, has spent 20 years educating healthcare CIOs about digital transformation and writing about healthcare innovation. Damo helps organizations turn new technology into better patient outcomes in areas like telemedicine, electronic health records, and patient engagement platforms. Paddy shares wisdom about innovative solutions that will improve our quality of life for decades ahead.Listen and learn...Paddy's single biggest insight from research for his book "Healthcare Digital Transformation"Which HealthTech trends are getting the most attention from venture capitalistsThe role of the digital health experience in patient adoption of healthcare services Which upstarts are disrupting HealthTech incumbentsHow the pandemic gave rise to telemedicine and how that is impacting the future of healthcareHow limited access to patient data will constrain AI-related innovation in healthcareWhether or not Apple, Amazon, and Google - owners of your data - will replace hospitals as primary healthcare providersReferences in this episode...Teladoc acquires LivongoOracle acquires CernerAmazon CareThe Big Unlock

Dave Kellogg, serial CEO, investor, and advisor, is a prolific blogger over at Kellblog.com. His annual predictions are a must-read for anyone in tech. This year's insights were no exception. Dave recently joined Balderton Capital as an executive in residence. His illustrious career has spanned exec stints at iconic companies like Host Analytics, Salesforce, MarkLogic, and Business Objects before it was acquired by SAP. Among other accolades, Dave’s SaaStr talks routinely rank in the top few most watched.Dave owns two dubious distinctions: in over 100 episodes, he’s one of only three repeat guests on the podcast. He’s also the biggest Grateful Dead fan we know. The two are only loosely correlated.Listen and learn:The single SaaS metric that matters most in 2022Dave's advice to innovators: "don't pave cow paths"What's different about the venture ecosystems in Silicon Valley and EuropeWhat's ahead for Web3 and blockchain in the enterpriseWhy the future of decentralized services requires centralized platformsIf 2021 was a Grateful Dead song...References in this episode:Dave's 2022 predictionsDave's favorite marketing book: They Ask You AnswerMoxie Marlinspike on Web3Anshu Sharma and the privacy vaultCausal inference wins the 2021 Nobel Prize in Economics

Graham Brown,  storyteller extraordinaire, has traveled the world learning about work, culture, and technology. He's a cognitive psychologist with a passion for AI but also a student of history and art who is on a personal mission to link the present and future with great stories from the past. Graham's also the CEO of Pikkal, a podcast agency, and the host of the Asia Tech Podcast.Listen and learn:What entrepreneurs need to know about the art of great storytellingWhat the cave paintings in Lascaux, France from 15,000 BCE teach us about artificial intelligenceHow archetypal stories like Star Wars and Harry Potter use the same plot lines as a Steve Jobs product launchWhy startup pitch decks need to "create maps for the audience"What it means to be human in the age of machine intelligenceWhy Henry Ford famously chose black as the color for the Model T FordReferences in this episode:The Asia Tech PodcastPikkal, Graham's podcast agencyThe cave paintings in Lascaux, FranceThe first computers (who were humans... and mostly women)

Rob May, serial AI entrepreneur and investor,  started as a hardware engineer but realized he could have more of an impact as an entrepreneur and investor. Since then, he has started companies including Backupify (acquired by Datto) and Talla (conversational AI)  and invested in over 100 startups. Rob's a deep thinker and the author of the popular Inside AI weekly newsletter and Investing in AI podcast.Listen and learn...What's holding back AI adoption in the enterpriseNew approaches to address the "small data" AI problemAbout the ethics training we should require for AI algorithm developersWhy those who fear bots taking over are the modern equivalent of LudditesWhat it means to be human when machines are sentientThe moonshot AI idea Rob's most excited aboutReferences in today's episode:Krishna Gade from Fiddler on AI and the Future of WorkAdeptID for matching helping employees upskillMythic for edge AI

Elliot Shmukler, CEO and founder of Anomalo, needed a better way to monitor data quality at scale. He previously led growth teams at Wealthfront, Instacart, and LinkedIn and experienced firsthand the impact of incomplete or inaccurate data. Anomalo has now raised nearly $40M from amazing investors including Norwest, Two Sigma, and Foundation to make data problems a thing of the past.Listen and learn...What Elliot means when citing Jeff Weiner from Linkedin: "If you're launching a rocket even a one degree course change can mean you won't land on the moon."About the data quality issue nobody noticed at Instacart that impacted millions of users.How the role of the data scientist will change as AI platforms automate data quality monitoring.When there's a need for humans in the loop to override AI systems.Why every product will soon be as good at personalization as Spotify and Netflix.The number one skill every student needs to learn that will never be replaced by machines.Past episodes referenced in today's discussion:Milin Desai, Sentry CEOBarr Moses, Monte Carlo CEODerek Steer, Mode Analytics CEOPeter Fishman, Mozart Data CEOKrishna Gade, Fiddler CEOCharity Majors, Honeycomb CTO

Luke Arrigoni started Arricor in 2012 to help large companies make sense of their data. Since then, he and the team have taught organizations like Goldman Sachs, AT&T, and Thomson Reuters about the principles of AI. His secret? Focus on the business problem and the right technology approach becomes obvious.Listen and learn...How UPS uses AI to automatically assign the right tax code for packagesWhat responsibility AI developers have for the decisions their algorithms makeHow to clean dirty data to make it ready for AI model training When to use neural nets vs. gradient-boosted treesWhich tasks are good candidates for classifier models vs. NLPWhich job skills are future-proof... and which are likely to be replaced by automation References in this episode:Fish from Mozart Data on AI and the Future of WorkAirflow for data pipeline automation

Peter Fishman ("Fish"), co-founder and CEO of Mozart Data, had a vision for making it easy for any business to unlock the value of their data via a modern data stack. He and his co-founder believe rote data engineering work shouldn't require teams of in-house data engineers. Fish turned his PhD in Economics and passion for statistics into a successful, venture-backed YC company that is defining the future of data analytics.Listen and learn...Why Fish believes "not every business gets value out of their data... but every business can."The role of data pipelines in automating the cleaning and transforming of data.Fish's prediction for where humans will be needed for data analysis in a decade.What Fish learned working with David Sacks at Yammer.How bacon hot sauce inspired the founding of Mozart Data.References in this episode:Barr Moses from Monte Carlo  on AI and the Future of WorkDerek Steer from Mode on AI and the Future of WorkFivetran for simplifying data integration

Shawn Merani, entrepreneur and venture investor, has started two venture funds and been an operator at early stage companies including Liquidnet and ReachLocal. Shawn has invested in some amazing companies including Clubhouse, Dollar Shave Club, and Stance. He shares his definition of "hustle" and the challenges of raising money for a venture fund vs. raising money for a company.Listen and learn...How to raise your first venture fund.Why the goal of Parade Ventures is "to be the first call great founders make when raising money."Shawn's secret to getting access to over-subscribed deals with high-profile investors.Why Shawn makes it a priority to meet every one of Parade's founders every other week.The biggest mistake founders make when pitching investors.What one entrepreneur did to convince Shawn to invest in a first meeting.References in this episode:Intro: book in-demand experts for a video callSonar: change intelligence softwareMoichor: animal diagnosticsZi Wang from TimelessParade Ventures

Mel Engle,  executive and cancer survivor, has spent more than 30 years in and around the intersection of healthcare and technology. He's now the CEO of Predictive Oncology using AI and patient data to develop personalized cancer treatments. Mel discusses how research from Carnegie Mellon is being commercialized to accelerate the future of healthcare.Listen and learn...How Mel and his team have turned cancer detection and prevention into a data problem.How to use AI to figure out which tumor types can be healed by which chemical compounds to reduce the time required to develop new cancer treatments.How to mitigate the impact of bias in patient data when using AI to make high-stakes decisions.How long before AI will be more accurate at detecting cancer than human doctors.What's ahead for AI in healthcare for the next decade.References in this episode:Predictive OncologyDr. Bob Murphy from Carnegie MellonRene Morkos from ALICE Technologies on AI and the Future of Work