Dr. Panos Siozos, LearnWorlds CEO, went from academic to high-tech CEO and raised $32M from Insight Partners to help creators monetize e-learning courses. Dr. Siozos is our first guest from Cyprus and his story about building a remote-first, global team should inspire international entrepreneurs everywhere. As Dr. Siozos says, "everyone has something to teach... that someone else wants to learn." This is a great opportunity to understand the future of learning... in 30 minutes.Listen and learn...How Dr. Siozos transitioned from being an academic and researcher to a high-tech CEOWhy creators need a better platform to share and monetize custom e-learning coursesHow technology is redefining the learning experience and why "the industrial education experience" is antiquated How future innovation in the areas of AI, AR, and VR will increase engagement rates for e-learningWhy Dr. Siozos says "...learning is the only superpower we possess as humans."References in this episode:Bryan Talebi, Ahura AI CEO, on AI and the Future of WorkJordan Husney, Parabol CEO, on AI and the Future of WorkLearnWorldsPodchaser token: 9h5nXFjBF3PXuSmfUzrE

Scott Zoldi, FICO Chief Analytics Officer and PhD in Theoretical Physics, shares how to use AI responsibly. FICO uses consumer data and machine learning models to make decisions ranging from fraud to credit risk. Hundreds of thousands of signals can be used to make a single decision by comparing new data with historical data. Scott's team is focused not just on making accurate decisions but also ensuring the signals used and the decision-making process are bias-free.Listen and learn...How Scott's team uses AI to make automated decisions using consumer dataWhy Scott's priorities are "explainability first and performance second"Why the principles of "humble AI" are as important as the principles of ethical AIWhat's required to increase public trust in AI-based decisionsWhat's the role of data scientists in the future when AutoML is prevalentWhat Scott means when he says "models aren't biased when they're built, they're only biased in production"References in this episode:Scott's blog posts at FICO@ScottZoldi on Twitter Facebook's AI experiment gone awryAmazon's facial recognition failureThanks to Benjamin Baer for the intro to Scott!

Bindu Reddy, CEO and co-founder of Abacus AI, was a product exec at Google and Amazon and an accomplished entrepreneur before setting out to make AI model management accessible to non data scientists. Bindu has since raised more than $40M from investors like Index Ventures, Coatue, Ram Shriram, Deep Nishar, and others. Her team is investing in core AI research and building a platform to make it easy to deploy models trained on deep neural nets with tabular data. Hear Bindu's vision... then go follow her on Twitter for provocative tweets like the one we discuss in this episode :).Listen and learn...How Bindu became an AI enthusiast after an algorithm helped her previous company increase revenue 40%What Bindu learned at Google and AWS... and what she has had to un-learn to grow Abacus AIHow AI is being used to reduce customer churnWhy Bindu's vision is to make creating and managing AI models "as easy as creating podcasts or websites" Why building bias into AI models isn't necessarily badReferences in this episode:Krishna Gade on AI and the Future of WorkJeff Meyerson on AI and the Future of WorkAbacus.aiBindu on Twitter

Charity Majors, CTO and co-founder at honeycomb, grew up in rural Idaho and dropped out of college. This is her unlikely journey from pianist to successful high-tech entrepreneur. She's a pioneer in the monitoring and observability space who  turned her learning at Facebook into a company focused on helping developers find and fix bugs faster. Charity's opinionated, thoughtful, and one of the most outspoken critics of, well, the status quo :).Listen and learn...What motivated Charity to start a career in tech having been a "perennial dropout"Why "ops has a well-deserved reputation for masochism"Why Charity says the "Kool-aid at Facebook is strong and potent" Why it's impossible to troubleshoot software bugs with high cardinality dataHow Charity defines observabilityWhat it means to practice observability-driven development (ODD) and why it should replace test-driven development (TDD)References in this episode:Charity's personal siteCharity on TwitterCharity's manifesto on observabilityThanks to Rachel Chalmers for making this episode happen!

Kai Nunez, VP Research & Insights at Salesforce, didn't always know she wanted to pursue a career in AI because it didn't exist as a field. Her dad was a linguist and she became interested in human-computer interaction at a young age. Kai's deep concern for values-based leadership and operating with integrity led her to become a leading voice in the DEI and AI ethics communities. Today, her teams are creating a culture of awareness about the impact tech has on underserved populations. She's a passionate advocate for educating teams to do the right thing... even when nobody's looking.Listen and learn...About Salesforce's real "biggest competitor"Why DEI matters in technologyHow Kai lives the value of "being a respectful truthteller"Why the future of software includes data audits to mitigate the risk of bias  What happened when Kai presented an unpopular idea to Marc BenioffReferences in this episode...Krishna Gade from Fiddler on AI and the Future of WorkAI ethics at Salesforce

René Morkos, CEO and Founder of ALICE Technologies, grew up wanting to build things. That passion led him to degrees in Construction Management and an adjunct professorship at Stanford. In 2015, he founded ALICE to improve the efficiency of complex construction projects. Rene has since raised nearly $40M from an incredible list of investors including Lightspeed, Merus, and Future Ventures. Listen and learn...What René learned from his first job after college working on construction sites in AfghanistanWhy ConstructionTech has attracted nearly $6B since 2014How algorithms figure out what 6,000 people on a construction site should do every dayWhat the world will be like in ten years when technology is fully adopted in the construction industry Why "startups are really just R&D departments for large companies"What's hard about building startups...that they don't teach you in CEO schoolReferences in the episode...ALICE TechnologiesALICE on TwitterAI and the Future of Work with Rachel Chalmers from Alchemist Accelerator

Gary Bolles, entrepreneur, venture advisor, and best-selling author, is a deep thinker who established roots in Silicon Valley in the 80s to pursue his joint passions for technology and exploring what he calls the three boxes of life - learning, work, and leisure. He’s the author of The Next Rules of Work which was published August 31. He’s also the chair for the Future of Work at Singularity University and the founder of eParachute among other companies. Oh, and his LinkedIn courses have helped train more than 800,000 students. Listen and learn...How the son of a laid off minister became one of the foremost authorities on the future of workWhat opportunities are being created by "The Great Reset"How technology is redefining work... and redefining our identity as humansWhat it means that we're moving from a "workforce" to a "worknet"About the $10 million exercise... and why it's the best way to find your passionWhy living the acronym "PACE" is the best way to ensure future career successReferences in today's episode...Gary's siteSingularity UniversityAI and the Future of Work with Charlene Li

Derek Steer cut his teeth as a data analyst at Facebook and Yammer more than a decade ago. He co-founded Mode in 2013 to make it easier to ask questions about data and get better answers faster. Mode has since raised four rounds of funding including a recent $33M round from an exceptional group of investors. 52% of Fortune 500 companies use Mode and Derek has grown the team to more than 300 employees. Derek's vision: "drive the time to do analysis down to zero." He's well on his way!Listen and learn...What Mode's doing to "unlock the power of human reasoning"What Derek learned about tools for data analysts from Facebook and YammerWhy there will always be a need for analytics frontends even amid competition from data warehouses like SnowflakeThe future of work for data analystsThe biggest tragedy in BI todayReferences in this episode:Benn Stancil's "season without bats"FivetranThoughtSpotTrifactaTiernan Ray on AI and the Future of Work

Jeff Meyerson, entrepreneur, musician, technologist, and author of the acclaimed "Move Fast: How Facebook Builds Software", discusses the stranglehold Big Tech has on developer tools and how the future of software development may be quite different from the present.Listen and learn...What Jeff learned about sales from playing pokerHow Facebook builds software... and how it can avoid being evil Why React is the "Linux of the frontend of the web"The development tools Jeff's most excited aboutWhy Zuck's not a good leaderWhat Jeff will tell Zuck when they finally meet  References in this episode..."Move Fast: How Facebook Builds Software" on AmazonJeff on TwitterSoftware Engineering DailyJanelle Shane's great book

Krishna Gade was an engineering leader at Twitter, Pinterest, and Facebook before realizing AI is eating software... and responsible AI is essential. He turned a passion for "trustworthy AI" into a company that recently raised $32M to make AI explainable.Listen and learn...Why AI explainability matters... and how to instrument it in AI modelsWhat developers need to know to ensure AI models don't make bad decisionsWhat legislators need to know when creating frameworks to regulate "responsible" use of AIHow Apple fumbled AI explainability when issuing credit cards through Goldman SachsKrishna's top lesson learned as a first-time CEO References in this episode:AI and The Future of Work with Dr. Mark van RijmenamAI and The Future of Work with Tiernan RayThe Algorithmic Accountability ActFiddler.ai