The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
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Similar to High Signal: Data Science | Career | AI
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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Africa-focused technology, digital and innovation ecosystem insight and commentary.
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The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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Show notes are at https://stevelitchfield.com/sshow/chat.html
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Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
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The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
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Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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Episode 1: The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale
Manage episode 450107845 series 3615441
Content provided by Delphina. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Delphina or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Michael Jordan (UC Berkeley) on the future of machine learning as it extends to a planetary scale in "The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale." In this episode, Mike speaks with Hugo about the evolution of AI, the importance of integrating machine learning, computer science, and economics, and how AI can scale to address planetary-level challenges.
17 episodes
ShareManage episode 450107845 series 3615441
Content provided by Delphina. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Delphina or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Michael Jordan (UC Berkeley) on the future of machine learning as it extends to a planetary scale in "The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale." In this episode, Mike speaks with Hugo about the evolution of AI, the importance of integrating machine learning, computer science, and economics, and how AI can scale to address planetary-level challenges.
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High Signal: Data Science | Career | AI
1 Episode 17: The Incentive Problem in Shipping AI Products — and How to Change It 53:52
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Play Later Play Later Lists Like LikedRoberto Medri, VP of Data Science at Instagram, explains why most experiments fail, how misaligned incentives warp product development, and what it takes to drive real impact with data science. He shares what teams get wrong about launches, why ego gets in the way of learning, and how Instagram turned Reels from a struggling product into a global success. A candid look at product, data, and decision-making inside one of the world’s most influential platforms. LINKS Roberto on LinkedIn High Signal podcast Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 16: How Human-Centered AI Actually Gets Built 47:22
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Play Later Play Later Lists Like LikedFei-Fei Li—co-director of Stanford’s Human-Centered AI Institute and one of the most respected voices in the field—reflects on AI’s evolution from the early days of ImageNet to the rise of foundation models. She explains why spatial intelligence may be the next major shift, how human-centered design applies in practice, and why AI should be understood as a civilizational technology—one that shapes individuals, communities, and society at large. LINKS Stanford HAI World Labs "The World I See", Fei-Fei's book (a must read!) Fei-Fei on X Fei-Fei on LinkedIn High Signal podcast Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 15: Why Good Metrics Still Lead to Bad Decisions — and How to Fix It 54:17
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Play Later Play Later Lists Like LikedEoin O'Mahony—data science partner at Lightspeed, former Uber science lead, and one of the early architects of the system that kept NYC’s Citi Bikes available across the city—argues that positive metrics are meaningless if you don’t understand the mechanism behind them. At Uber, he was careful to make sure his launches both looked good on paper and made sense in practice. Now in venture, he’s applying that same rigor to unstructured data—using GenAI to scale a kind of work that’s long resisted systematization. LINKS Eoin's page at Lightspeed Ventures Ramesh Johari on How to Build an Experimentation Machine and Where Most Go Wrong Chiara Farronato on Data Science Meets Management: Teamwork, Experimentation, and Decision-Making Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 14: Why Most Companies Aren’t Actually AI Ready (and What to Do About It) 51:58
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Play Later Play Later Lists Like LikedBarr Moses—co-founder and CEO of Monte Carlo—thinks we’re headed for an AI reckoning. Companies are building fast, but most are still managing data like it’s 2015. In this episode, she shares high-stakes failure stories (like a $100M schema change), explains why full-stack observability is becoming essential, and breaks down how LLM agents are already transforming data debugging. From culture to tooling, this is a sharp look at what real AI readiness requires—and why so few teams have it. LINKS 2024 State of Reliable AI Survey – Monte Carlo Delphina's Newsletter Unity’s $100M Data Error – Schema Change Gone Wrong Citibank’s $400M Fine for Risk Management Failures Google’s AI Recommends Adding Glue to Pizza Chevy Dealer’s AI Chatbot Agrees to Sell Tahoe for $1 The AI Hierarchy of Needs by Monica Rogati (HackerNoon) Data Quality Fundamentals by Barr Moses, Lior Gavish, and Molly Vorwerck (O’Reilly) Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 13: The End of Programming As We Know It 1:23:09
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Play Later Play Later Lists Like LikedTim O’Reilly—founder of O’Reilly Media and one of the most influential voices in tech—argues we’re not witnessing the end of programming, but the beginning of something far bigger. He draws on past computing revolutions to explore how AI is reshaping what it means to build software, why real breakthroughs come from the edge—not incumbents—and what it takes to learn, teach, and build responsibly in the age of AI. LINKS The End of Programming as We Know It by Tim <--- Read this! WTF? What’s the Future and Why It’s Up to Us The fundamental problem with Silicon Valley’s favorite growth strategy AI Engineering by Chip Huyen Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 12: Your Machine Learning Solves The Wrong Problem 54:40
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Play Later Play Later Lists Like LikedStefan Wager—Professor at Stanford and expert on causal machine learning—has worked with leading tech companies including Dropbox, Facebook, Google, and Uber. He challenges the widespread assumption that better predictions mean better decisions. Traditional machine learning excels at prediction, but is prediction really what your business needs? Stefan explores why predictive models alone often fail to answer critical “what-if” questions, how causal machine learning bridges this gap, and provides practical advice for how you can start applying causal ML at work. LINKS Stefan's Stanford Website Machine Learning and Economics, Stefan and Susan Athey's lectures for the Stanford Graduate School of Business Causal Inference: A Statistical Learning Approach (WIP!) Mastering ‘Metrics: The Path from Cause to Effect by Angrist & Pischke The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie Causal Inference: The Mixtape by Scott Cunningham A Technical Primer On Causality by Adam Kelleher What Is Causal Inference? An Introduction for Data Scientists by Hugo Bowne-Anderson and Mike Loukides The Episode on YouTube Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 11: What Comes After Code? The Role of Engineers in an AI-Driven Future 1:05:44
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Play Later Play Later Lists Like LikedPeter Wang—Chief AI Officer at Anaconda and a driving force behind PyData—challenges conventional thinking about AI’s role in software development. As AI reshapes engineering, are we moving beyond writing code to orchestrating intelligence? Peter explores why companies are fixated on models instead of integration, how AI is breaking traditional software workflows, and what this shift means for open source. He also shares insights on the evolving role of engineers, the commoditization of AI models, and the deeper questions we should be asking about the future of software. LINKS Peter Wang on LinkedIn Anaconda Mistral Saba Peter chatting with Hugo several years ago about the beginnings of PyData, NUMFOCUS, and Python for Data Science Delphina's Newsletter…
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High Signal: Data Science | Career | AI
1 Episode 10: AI Won't Save You But Data Intelligence Will 59:42
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Play Later Play Later Lists Like LikedAri Kaplan—Global Head of Evangelism at Databricks and a pioneer in sports analytics—explains why businesses fixated on AI often overlook the real advantage: making better decisions with their own data. He shares lessons from his work building analytics teams for Major League Baseball, advising McLaren’s F1 strategy, and helping companies apply AI where it actually works—without falling into hype-driven traps. SHOW NOTES Ari on LinkedIn The Data Intelligence Platform For Dummies by Ari and Stephanie Diamond Databricks' AI/BI: Intelligent analytics for real-world data That time Ari spoke with Travis Kelce about how Travis and the Kansas City Chiefs use data and analytics!…
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High Signal: Data Science | Career | AI
1 Episode 9: Why 90% of Data Science Fails—And How to Fix It -- With Eric Colson 1:09:40
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Play Later Play Later Lists Like LikedIn this episode of High Signal , Eric Colson—former Chief Algorithms Officer at Stitch Fix and VP of Data Science and Machine Learning at Netflix—breaks down why most companies fail to unlock the full potential of their data science teams. Drawing from years of experience leading data functions at top tech companies, Eric shares how organizations can shift from treating data scientists as a service function to empowering them as strategic drivers of business impact. Key topics from the conversation include: Data Science as a Strategic Function : Why many companies limit their data teams to answering business requests instead of leveraging their ideas for competitive advantage. Beyond Skills—The Power of Cognitive Repertoires : How data scientists' unique ways of framing problems can lead to breakthrough innovations. Trial and Error as a Competitive Advantage : Why most experiments fail—but scaling experimentation is the key to big wins. Decoupling Algorithms from Applications : How separating data science from engineering enables rapid iteration and direct business impact. Shifting from Cost Center to Revenue Generator : Practical steps for structuring data teams to drive measurable value and long-term success. 💡 Tune in to learn how leading companies structure their data teams for impact, why experimentation beats rigid planning, and how treating data science as a strategic function can unlock new business opportunities. You can find more on our website: https://high-signal.delphina.ai/ SHOW NOTES Eric on LinkedIn Beyond Skills: Unlocking the Full Potential of Data Scientists by Eric Colson MultiThreaded: Technology at StitchFix A/B Testing with Fat Tails by Azevedo et al.…
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High Signal: Data Science | Career | AI
1 Episode 8: From Zero to Scale: Lessons from Airbnb and Beyond 1:06:42
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Play Later Play Later Lists Like LikedIn this episode of High Signal , Elena Grewal—former Head of Data Science at Airbnb, political consultant, professor at Yale, and ice cream shop owner—shares her journey of building data teams that scale across vastly different contexts. Drawing on her experiences in tech, consulting, and brick-and-mortar, Elena offers practical lessons on leadership, trust, and experimentation. Key topics from the conversation include: From Zero to Scale : How Elena built Airbnb’s data science function from the ground up, scaling it to a 200-person team while driving impact across the organization. Trust and Team Culture : Why trust is foundational for building effective teams, fostering creativity, and empowering data scientists to drive results. Applying Data Science Across Contexts : Lessons learned from using data to inform decisions in politics, academia, and even running an ice cream shop. Experimentation and Iteration : Insights into tailoring experimentation methods to fit different scales, from small businesses to tech giants. Critical Thinking and Data : How Elena equips the next generation of leaders at Yale to ask better questions, assess data quality, and think critically about evidence. 💡 Tune in to explore how data science principles can scale across industries, the leadership skills required to build impactful teams, and why experimentation is as relevant to ice cream as it is to AI systems. You can find more on our website: https://high-signal.delphina.ai/ SHOW NOTES Elena's website Elena on LinkedIn Real World Environmental Data Science, Elena's course at Yale Elena's on Orange!…
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High Signal: Data Science | Career | AI
1 Episode 7: What Lies Beyond Machine Learning and AI: Decision Systems and the Future of Data Teams 1:18:44
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Play Later Play Later Lists Like LikedIn this episode of High Signal, Chris Wiggins—Chief Data Scientist at The New York Times, Professor at Columbia University, and co-author of How Data Happened—shares how organizations can move beyond prediction to actionable decision systems. Drawing on his work at The New York Times and in academia, Chris explains how to scale data teams, optimize systems, and align data science with organizational impact. Key topics from the conversation include: • From Prediction to Prescription: Why organizations need to focus on interventions that drive outcomes, illustrated with insights like, “Imagine a hospital prescribing treatments instead of just diagnosing conditions.” • The AI Hierarchy of Needs: Foundational practices, such as data logging and engineering, that enable advanced machine learning and AI. • Personalization and Optimization: How reinforcement learning and exploration-exploitation methods help optimize KPIs and adapt to user context. • Scaling Data Teams: Strategies for attracting and retaining talent by emphasizing autonomy, mastery, and purpose. • Empathy as a Data Science Skill: The importance of collaborating with other teams and understanding their goals to drive adoption and success. 🎧 Tune in to learn how to build decision systems, integrate causality into workflows, and develop scalable data science teams for real-world impact. You can find more on our website: https://high-signal.delphina.ai/ LINKS Chris Wiggins' Website Chris Wiggins on LinkedIn How Data Happened: A History from the Age of Reason to the Age of Algorithms The AI Hierarchy of Needs by Monica Rogati The Book of Why by Judea Pearl…
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High Signal: Data Science | Career | AI
1 Episode 6: What Happens to Data Science in the Age of AI? 1:18:23
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Play Later Play Later Lists Like LikedIn this episode of High Signal, Hilary Mason—renowned data scientist, entrepreneur, and co-founder of Hidden Door—shares her unique insights into the evolving world of data science and generative AI. Drawing from her pioneering work at Fast Forward Labs, Bitly, and Hidden Door, Hilary explores how creativity, judgment, and empathy are reshaping the data landscape. Highlights from the discussion include: Judgment as a Competitive Edge: Hilary emphasizes the enduring importance of human judgment in framing problems and evaluating AI outputs. The Future of Generative AI: She discusses its transformative potential while cautioning against over-reliance on prompts, advocating for systems rooted in rich context. Building for Creativity with Hidden Door: Hilary shares how her company turns generative AI’s liabilities into assets, creating immersive, bias-aware storytelling experiences. The Shifting Role of Data Science Careers: With automation redefining entry-level roles, Hilary outlines how data professionals can focus on transferable skills to stay ahead. Navigating AI Strategy in Leadership: She offers pragmatic advice on balancing the hype of AI with practical business impact, aligning leadership expectations with achievable goals. The conversation concludes with Hilary’s optimistic take on how the data science community can continue to thrive by embracing creativity, empathy, and interdisciplinary collaboration. 🎧 Tune in to gain practical insights into building robust AI systems, navigating career shifts, and leveraging generative AI for meaningful innovation. You can find more on our website: https://high-signal.delphina.ai/ LINKS Hilary Mason on LinkedIn Hidden Door Fast Forward Labs Reports Of Oaths and Checklists By DJ Patil, Hilary Mason and Mike Loukides…
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High Signal: Data Science | Career | AI
1 Episode 5: The Hard Truth About Building AI Systems and What Most Leaders Miss About AI 1:02:06
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Play Later Play Later Lists Like LikedIn this episode of High Signal, Gabriel Weintraub (the Amman Professor of Operations, Information, and Technology at Stanford Graduate School of Business), brings his expertise in market design, data science, and operations, enriched by his experience with global platforms like Uber and Mercado Libre, to a conversation that spans practical strategies, cultural insights, and global perspectives on data and AI. Highlights from the discussion include: Bridging the C-Level and Technical Divide: Gabriel emphasizes the importance of aligning leadership with on-the-ground teams to build effective, data-driven organizations. Starting with the Basics: From building pipelines to identifying high-ROI projects, Gabriel outlines foundational steps for companies adopting data science and AI. Cultural Transformation for Experimentation: He explains why fostering an experimentation culture, where negative results are valued for learning, is essential for success. Opportunities in Latin America: Gabriel shares insights on the unique challenges and immense potential of the Latin American tech ecosystem, including the critical role of startups and the need for local innovation systems. Generative AI’s Role in Driving Impact: Discussing generative AI’s transformative potential, Gabriel highlights its capacity to lower barriers for smaller teams while emphasizing the importance of problem-first approaches. The conversation concludes with a forward-looking exploration of opportunities in government, education, and healthcare, and Gabriel’s optimism about building ecosystems where startups and local talent thrive. 🎧 Tune in to learn from Gabriel’s thoughtful perspectives on navigating the complexities of building data-driven cultures, the global AI landscape, and how to leverage data for impactful change. You can find more on our website: https://high-signal.delphina.ai/…
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High Signal: Data Science | Career | AI
1 Episode 4: How to Build an Experimentation Machine and Where Most Go Wrong 51:16
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Play Later Play Later Lists Like LikedRamesh Johari (Stanford, Uber, Airbnb, and more) explores the art and science of online experimentation, especially in the context of marketplaces and tech companies. Ramesh shares insights on how organizations evolve from basic experimentation practices to becoming fast, adaptive, and self learning organizations. We dive into challenges like the risk aversion trap, the importance of learning from negative results, and how generative AI is reshaping the experimentation landscape. We also talk about common failure modes and the types of things you're probably doing wrong, along with strategies to avoid these pitfalls. Plus, we discussed the role of incentives, the necessity of data driven decision making, and what it means to experiment in high stakes environments.…
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High Signal: Data Science | Career | AI
1 Episode 3: Data Science Meets Management: Teamwork, Experimentation, and Decision-Making 52:12
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Play Later Play Later Lists Like LikedChiara Farronato (Harvard Business School) discusses how digital platforms like Airbnb and Uber have transformed industries. She explores the challenges of fostering collaboration between managers and data scientists, bridging communication gaps, and building data-driven cultures. Chiara also delves into the complexities of managing peer-to-peer marketplaces and the evolving role of data in decision-making. This episode offers key insights for business leaders working with technical teams and navigating platform-based innovation.…
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Daily Deals
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Similar to High Signal: Data Science | Career | AI
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
…
continue reading
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Embedded is the show for people who love gadgets. Making them, breaking them, and everything in between. Weekly interviews with engineers, educators, and enthusiasts. Find the show, blog, and more at embedded.fm.
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
…
continue reading
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