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

Binny Gill started his career as a programmer after studying CS and Engineering at IIT Kanpur and later UIUC, University of Illinois Urbana-Champaign. He then had an impressive eight-year run as a technology leader at Nutanix, the hyper converged infrastructure company, eventually becoming its CTO for cloud services. In January 2021, Binny left Nutanix to start Kognitos based on a bold vision to make everyone a programmer. In this discussion, we learn about his journey and how generative AI just may change everything.Thanks to Steve Kaplan for the intro to Binny.Listen and learn:Binny's inspiration for starting Kognitos: "...why should humans need to think like machines... when machines can now think like humans?"What makes programming so hard.Why the future of programming is using natural language to describe the features you want.How computing interfaces restrict us from communicating like humans when programming.Why Binny says "generative AI is the new electricity."The most important leadership lesson Binny learned working alongside iconic leaders at IBM.References in this episode:How Petals just became the BitTorrent of LLMsPhil McKinney, former HP CTO, on AI and the Future of WorkThe Kognitos blog

Today’s guest belongs on the Mt. Rushmore of amazing female leaders we've interviewed on this podcast. Daphne and I met in November while co-presenting at the HMG Strategy event in New York City. Daphne’s energy is infectious. Her passion for inspiring leaders was obvious on stage and even more obvious when we met afterward. Daphne’s new book Win When They Say You Won’t: Break Through Barriers and Keep Leveling Up Your Success became an instant best seller. Listen to this one and you’ll understand why.Before becoming an author, Daphne started The Board Curators to help others prepare for serving as paid company directors. She serves on numerous boards including AMN Healthcare and Masonite International. Earlier in her career, Daphne was a serial CIO serving in IT leadership roles at companies including IBM, Johnson & Johnson, Pfizer, and GE Healthcare.Listen and learn...Daphne's remarkable path from poor kid in rural Illinois to global CIOHow to overcome racial bias as a black femaleThe subtle ways bias infiltrates organizationsWhere imposter syndrome originates... and how to conquer itHow to "version your life" to adopt a growth mindsetHow to use Daphne's EDIT process to achieve your goalsWhy DEI "won't be a thing any more" in a decadeReferences in today's episode...Daphne's book: Win When They Say You Won'tCharlene Li on AI and the Future of WorkGiselle Mota on AI and the Future of WorkKai Nunez on AI and the Future of WorkDaphne's websiteFun facts about AI adoption in 2023

This is one of my favorite episodes of the year. It’s our third annual long, strange trip into the mind of a Silicon Valley legend. Dave Kellogg is one of the best marketers, CEOs, tech provocateurs, and board whisperers around. He was an executive at iconic companies like SAP, MarkLogic, and Salesforce turned investor and board director who is now an executive in residence at Balderton Capital. In this episode, we discuss, well, just about everything that matters for the tech economy… startup growth metrics, generative AI, how to get funded in 2023, and of course our favorite jam band.Listen and learn: What Dave got right… and not so right… in his 2022 predictions How startups can survive downturns How to fix the problems at Salesforce, Amazon, and Facebook What single theme will characterize 2023 in Silicon Valley What will happen to startups that raised massive rounds in 2021 Why virtual companies won’t outperform companies built around hubs in tech centers What’s ahead for consumption-based pricing and PLG Why generative AI poses an existential threat to Google References in this episode: Dave’s (excellent) blog Peter Fishman, Mozart Data CEO, on AI and the Future of Work Derek Steer, Mode  co-founder, on AI and the Future of WorkHow ChatGPT can detect Alzheimer's disease

Carter Busse has been leading IT organizations for more than two decades. He has been an IT leader at successful, high-growth organizations ranging from Salesforce to MobileIron to 8x8 to Cohesity Among his many accolades, he was recently named a 2022 ORBIE Bay Area CIO of the year and was also the first IT leader hired at Salesforce back in 2000. Carter understands the challenges of managing tech infrastructure for high-growth tech companies where there’s zero margin for error because everyone thinks they know tech better than you. CIOs are like plumbing: nobody appreciates them when everything’s working but they’re the first to get blamed when there’s a blockage.He's now the CIO of rising star Workato, the integration automation platform that has raised more than $400M, was most recently valued at nearly $6B, and has about 1,000 employees in 13 offices around the world. Listen and learn...What a CIO does.Why CIOs have the shortest tenure in the C-suite.The role of AI to improve employee experiences.How to recreate the Apple Genius Bar at work... for at-home employees.How generative AI will be used in the enterprise.Key questions to ask when evaluating new uses of AI.How CIOs deliver strategic value and avoid being "technology traffic cops".References in this episode:What happens when ChatGPT is wrong?Mark Settle, seven-time CIO, on AI and the Future of WorkWorkato

Darren Murph has been Head of Remote at GitLab for 3.5 years and has been a part of its rise to prominence. His leadership helped shape GitLab’s remote-first culture. GitLab went public in 2021 and has about a $7B market cap. It’s one of the leading DevOps platforms and has grown its team to more than 2k employees. Before GitLab Darren has been an entrepreneur, journalist, and author. Oh, and by the way, he holds one of the most awesome records in the Guinness Book of World Records.Listen and learn:How to make work an organizational principle instead of a perk or policyWhat a Head of Remote does... and why every company will soon hire oneWhy there's no such thing as "hybrid" workThe number one mistake organizations make when transitioning to remote workHow remote-first teams make the most of in person teamHow GitLab uses the personal "readme" to help remote employees get to know each otherHow to Zoom happy hours with "community service hours"How Darren earned his place in the Guinness Book of World RecordsReferences in this episode...Matt K. Parker on AI and the Future of WorkDarren Murph on TwitterChase Warrington, Head of Remote at DoistHow voice assistants are helping the elderly age in placeElliQ, the voice assistant from Intuition Robotics

Today's episode first appeared on Peter Scott's (excellent!) AI and You podcast.Peter Scott and David Wood are two of the most recognized AI futurists. Both are respected authors, speakers, and visionaries. Peter is a popular TEDx speaker and long-time NASA engineer. David was recently named one of the "top 100 most influential people in technology".Today's discussion is a must-listen in which we discuss the future of technology, the future of work, and the future of humanity. In this one, Peter hosted and the three of us had a round table discussion about everything from generative AI to sentience. Let us know what you think after listening. Our DMs are open on Twitter and LinkedIn.Listen and learn...Where AI won and lost in 2022Our predictions for AI in 2023What will the impact of ChatGPT be on the future of technologyWhat tasks are best-suited for generative AIHow we'll regulate generative AI when it spews nonsenseWhat is artificial general intelligence (AGI) and when we'll achieve itWhat is sentience and are today's bots sentient?How and where the US AI Bill of Rights falls short vs. AI regulation in the EUWhat we should be doing to systematize the practice of responsible AIReferences in the episode:Peter Scott on AI and the Future of WorkEric Olson from Consensus on AI and the Future of WorkMichael Osterrieder from vAIsual on AI and the Future of WorkJim Lawton from Zebra on AI and the Future of WorkGary Bolles on AI and the Future of WorkMeta's Galactica bot failure

We’ve met some brilliant product minds on this show over the years. If you’re a long-time listener you hopefully enjoyed discussions with legends like Phil McKinney, former CTO of HP, and Philippe Cases, founder and CEO of Topio Networks, among others. Today’s guest belongs on that list. Rich and I first met when he was starting UserVoice around 2010 and I was at ServiceNow. I love his approach to innovation. He pioneered the idea that listening to customers can be as easy as adding a feedback tab to every web page back when all that existed were clunky survey tools. Today, thousands of sites use the widget he invented. He’s now out to make meetings more productive by helping attendees focus on conversations while an app transcribes them and offers simple buttons to annotate what’s happening. It’s obvious once you’ve used Fathom that this is the future of meetings.Rich White is not only a serial innovator but also a repeat entrepreneur who has raised from a group of exceptional investors over the years and was part of the YC Winter 2021 batch. Enjoy!Listen and learn...As a product expert and innovator, how to know when you've found "an itch worth scratching"What is "product-market fit" and how to know when you've achieved itWhat is a viral coefficient and how do you calculate itHow the "jobs to be done" framework led Rich to develop the key feature of FathomThe hardest problem Fathom has solved... has nothing to do with voice transcriptionHow Fathom trains developers to practice responsible AIReferences in this episode:Project Linchpin from the US Army is centralizing more than 685 AI projectsPhil McKinney on AI and the Future of WorkPhilippe Cases on AI and the Future of WorkFathom

Special episode this week! We recorded two live discussions from Turing's BOUNDARYLESS "Future of Work" event in San Francisco. In the first, Rani Mavram, Complete.so CEO, discusses using data to transform compensation policies from being a liability to an asset for high-growth companies. In the second, Ankit Jain, Aviator CEO, discusses using automation to improve developer productivity for remote-first engineering teams.Listen and learn...From Rani Mavram:Why compensation policies have an outsize impact on employee engagementWhat's required to make compensation plans transparentThe difference between compensation plans and "total reward" packagesWhere innovation is happening in the field of employee compensationFrom Ankit Jain:How to make remote-first engineering teams successfulUsing automation to improve developer productivityHow startups can replicate the developer experience at Google and FacebookThe future of generative AI and GitHub Copilot in assisting human developersReferences in today's show:Turing's BOUNDARYLESS eventComplete.so for compensation transparencyAviator to improve developer productivity

Merve Hickok is one of the most recognized thought leaders in the emerging field of AI ethics. Merve is the founder of AIethicist.org and Lighthouse Career Consulting. Her work is at the intersection of AI and data ethics along with social justice and DEI policy and regulation.Merve was recently listed among the top 100 most brilliant women in AI ethics and in the past she lectured at the University of Michigan’s School of Information on Data Science ethics. Merve’s at the forefront of this emerging field that will define how we live and work for the next several decades. This is an important conversation. Enjoy!Listen and learn… What led to Merve founding AIEthicist.orgHow the AI ethics conversation has evolved over the past year What the White House got right (and wrong) in the blueprint for an AI Bill of Rights What responsible AI means to Merve Why regulation doesn’t necessarily constrain innovation How AI policy and regulation are different around the world References in this episode... Why Meta’s newest LLM survived only three days onlineJonathan Frankle on AI and the Future of WorkRene Morkos from ALICE Technologies on AI and the Future of WorkPanos Siozos from LearnWorlds on AI and the Future of WorkPaddy Padmanabhan from Damo Consulting on AI and the Future of Work

Emmanuel Turlay spent more than a decade in engineering roles at tech-first companies like Instacart and Cruise before realizing machine learning engineers need a better solution. Emmanuel started Sematic earlier this year and was part of the YC summer 2022 batch. He recently raised a $3M seed round from investors including Race Capital and Soma Capital. Thanks to friend of the podcast and former guest Hina Dixit from Samsung NEXT for the intro to Emmanuel.I’ve been involved with the AutoML space for five years and, for full disclosure, I’m on the board of Auger which is in a related space. I’ve seen the space evolve and know how much room there is for innovation. This one's a great education about what’s broken and what’s ahead from a true machine learning pioneer.Listen and learn...How to turn every software engineer into a machine learning engineerHow AutoML platforms are automating tasks performed in traditional ML toolsHow Emmanuel translated learning from Cruise, the self-driving car company, into an open source platform available to all data engineering teamsHow to move from building an ML model locally to deploying it to the cloud and creating a data pipeline... in hoursWhat you should know about self-driving cars... from one of the experts who developed the brains that power themWhy 80% of AI and ML projects failReferences in this episode:Unscrupulous users manipulate LLMs to spew hateHina Dixit from Samsung NEXT on AI and the Future of WorkApache BeamEliot Shmukler, Anomalo CEO, on AI and the Future of Work