The O'Reilly Data Show Podcast explores the opportunities and techniques driving big data, data science, and AI.
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OReilly Data Podcasts
Insight, analysis, and research about emerging technologies from O'Reilly Media.
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Security insight and analysis.
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O'Reilly Radar tracks the technologies and people that will shape our world in the years to come. Each episode of O'Reilly Radar features an interview with an industry thought leader, with topics touching on everything from programming to data to experience design. We also take a step back from the breathless pace of the latest tech news to examine why new developments are important and what they might mean down the road.
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O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging ...
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Welcome to the UX Institute Podcast—your front-row seat to the future of AI, UX, and Product. Hosted by UX Institute Founder and CEO Mark Swaine, this podcast equips you with the skills, workflows, and strategic mindset needed to thrive in today’s AI-powered product and startup landscape. From hands-on AI design techniques to product leadership playbooks, every episode helps you level up your career and build smarter, faster, and better.
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#12 Not Chasing Unicorns: Venture Studios, ‘Boring’ AI, and the Future of UX – with Barry O’Reilly of Nobody Studios
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45:19Send us a text In this episode of the UX Institute Podcast, I speak with Barry O’Reilly — author of Lean Enterprise and Unlearn, and co-founder of venture studio NobodyStudios — Barry joins us to talk about why he’s not chasing unicorns, and why “boring” AI businesses might be the smartest bet in the next decade. Barry shares his journey from accid…
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#11 Design in the Age of AI: What’s Coming, What Breaks, and What Becomes Possible with Lovable
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47:02Send us a text In this episode, we sit down with Mendigas from the Lovable product team — a non-traditional designer, community builder, and AI super-user who went from recruiting in Dublin to quietly influencing how thousands of creators build products today. We unpack what the next 3–5 years will actually feel like for designers, UX researchers, …
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#10 Why Most Startups Fail & What UX Leaders Need to Fix with Mark Swaine (featured on Better Tech Leadership)
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25:49Send us a text On this special episode, your usual host Mark Swaine, sits down as a guest on the Better Tech Leadership podcast to unpack some of the biggest shifts happening at the intersection of UX, product, and AI. "Building software today isn’t hard — what’s hard is building the right thing, in the right way, at the right time." – Mark Swaine …
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#9 Transforming Data into User Experience Gold with Serena Chan from Dovetail
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30:39Send us a text Unlock the secrets of transforming user research into powerful customer insights with Serena Chan from Dovetail. "There's no better feeling than after you've shared out a research report and then, months later, a stakeholder comes back and references it and says, 'Oh, remember that cool research you did? Wow, this is really relevant …
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#8 The Evolution of Design in the Age of AI with author Akshay Kore
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38:55Send us a text The Evolution of Design in the Age of AI with Akshay Kore In the latest episode of our podcast, we delve into the evolving landscape of design where artificial intelligence (AI) intersects with UX. Our distinguished guest, Akshay Kore, who has previously worked for Microsoft and is now Design Lead at Suki AI, shares his wisdom and in…
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#7 AI & UX - A conversation on how AI is enhancing Product User Experiences, with AI & UX (Why AI needs UX) author Gavin Lew
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47:02Send us a text AI & UX (Why AI needs UX): A Conversation with Gavin Lew Have you ever wondered how artificial intelligence is transforming the world of user experience and product design? This episode engages in an insightful discourse with our distinguished guest, Gavin Lew, co-author of AI and UX: Why Artificial Intelligence Needs User Experience…
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#6 UX Thought Leadership with Mark Swaine - UX for Startups, SaaS UX, Deeper Personalised Experiences, Innovation Culture, and UX Trends
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25:26Send us a text The Enigma of UX: Mark Swaine's Insight into Tech Transformation In this special episode, the tables are turned, and your host becomes the guest. Mark was recently featured on Dublin Tech Talks with Gavin Fox. Mark takes us on a thrilling journey from his early days in web design to consulting on interactive experiences for some of t…
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#5 FlashBack - A rare and special conversation with Eric Jordan, 2Advanced Studios, covering the 2Advanced era, Erics career, web design, flash, and UX
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41:09Send us a text Eric Jordan, the founder of 2Advanced Studios, takes listeners on a very special journey through the early days of Flash website design and how it influenced his approach to designing world-renowned immersive web experiences that created hysteria during the early-mid 2000s. Eric reflects on the rise of 2Advanced and the impact of the…
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#4 Stack Ranking & Prioritising UX Research Insights (feat. Daniel Kyne, CEO/Founder of OpinionX)
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27:51Send us a text OpinionX: Unlocking the Power of Prioritizing with Daniel Kyne The co-founder and CEO of OpinionX, Daniel Kyne, talks about his research tool that helps product and design teams quickly stack rank customer priorities, making it easier for teams to make data-driven decisions and chase new opportunities. Learn how to use qual-quant wor…
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#3 Mastering Product Experience With IKEA UX Leader Eelko Lommers.
1:11:45
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1:11:45Send us a text ‘’Doing remarkable things can only be done at a place where you can be who you are, and have that freedom where you fit into that team and where all of the stuff you do is appreciated. ‘’ – Eelko Lommers. Welcome to the UX Institute podcast, hosted by UXI founder Mark Swaine. This show is focused on the transformational journeys and …
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#2 UX Institute Founder Mark Swaine Speaks With Interplay's Founder Michael Fitzgerald On Design/Dev Workflow, Design Systems And Prototyping
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31:28Send us a text UXI speak to Michael Fitzgerald, co-founder of Interplay. Mark and Michael discuss the historic workflow pain that both designers and developers have faced working together building product, the inefficiencies and poor communication. The conversation opens up the realities of the lack of understanding / misinterpretation by developer…
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#1 UX Institute Founder Mark Swaine Talks With Megan Kierstead On Why UX / Product Research Is Hard | UX Institute (UXI)
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41:13Send us a text Mark Swaine founder of the UX Institute talks with Megan Kierstead, a seasoned senior UX Researcher about the realities of carrying out UX Research and how hard it can be. Megan and mark discuss how the lack of realistic and common effective ways of demonstrating insights, there impact and effect on product proposition and business l…
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Send us a text Mark Swaine CEO of the UX Institute is interviewed by Morgan Cummins of Talent Hub in this special one on one chat about the importance of the customers end to end journey and how experience design shapes each perception, interaction and post product experience. UXI (UX Institute) Original Podcast 2025. www.uxinstitute.com…
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Machine Learning for Operational Analytics and Business Intelligence
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51:41In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab.…
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Machine learning for operational analytics and business intelligence
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51:38In this episode of the Data Show, I speak with Peter Bailis, founder and CEO of Sisu, a startup that is using machine learning to improve operational analytics. Bailis is also an assistant professor of computer science at Stanford University, where he conducts research into data-intensive systems and where he is co-founder of the DAWN Lab. We had a…
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Machine learning and analytics for time series data
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40:31In this episode of the Data Show, I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting. Both Kejariwal (at Machine Zone, Twitter, an…
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Machine Learning and Analytics for Time Series Data
40:33
40:33
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40:33In this episode of the Data Show, I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting. Both Kejariwal (at Machine Zone, Twitter, an…
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In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic a…
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In this episode of the Data Show, I speak with Michael Mahoney, a member of RISELab, the International Computer Science Institute, and the Department of Statistics at UC Berkeley. A physicist by training, Mahoney has been at the forefront of many important problems in large-scale data analysis. On the theoretical side, his works spans algorithmic a…
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In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built some well-regarde…
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In this episode of the Data Show, I speak with Kesha Williams, technical instructor at A Cloud Guru, a training company focused on cloud computing. As a full stack web developer, Williams became intrigued by machine learning and started teaching herself the ML tools on Amazon Web Services. Fast forward to today, Williams has built some well-regarde…
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Labeling, transforming, and structuring training data sets for machine learning
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40:51In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project. Snorkel is a framework for building and managing training data. Base…
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Labeling, Transforming, and Structuring Training Data Sets for Machine Learning
40:54
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40:54In this episode of the Data Show, I speak with Alex Ratner, project lead for Stanford’s Snorkel open source project; Ratner also recently garnered a faculty position at the University of Washington and is currently working on a company supporting and extending the Snorkel project. Snorkel is a framework for building and managing training data. Base…
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In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes “decision intelligence” as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences. Most recently she has been focused on develo…
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Taming Chaos: Preparing for Your Next Incident
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29:45In this interview, Tim Craig and fellow Googler Gustavo Franco, a site reliability engineer (SRE), discuss the wide range of events that qualify as “incidents;” the need for a conscious, robust, and well-defined process for understanding them; the role of training; and how to get buy-in from management so you can spread incident response training t…
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In this episode of the Data Show, I speak with Cassie Kozyrkov, technical director and chief decision scientist at Google Cloud. She describes "decision intelligence" as an interdisciplinary field concerned with all aspects of decision-making, and which combines data science with the behavioral sciences. Most recently she has been focused on develo…
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In this episode of the Data Show, I spoke with Roger Chen, co-founder and CEO of Computable Labs, a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O’Reilly’s Artificial Intelligence Conference since its inception in 2016. This conversation took place the day after Chen and…
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In this episode of the Data Show, I spoke with Roger Chen, co-founder and CEO of Computable Labs, a startup focused on building tools for the creation of data networks and data exchanges. Chen has also served as co-chair of O'Reilly's Artificial Intelligence Conference since its inception in 2016. This conversation took place the day after Chen and…
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In this week’s episode of the Data Show, we’re featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast, where he was interviewed by Jeff Meyerson. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML). Here are a few highlights:…
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In this week's episode of the Data Show, we're featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast, where he was interviewed by Jeff Meyerson. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).…
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Enabling end-to-end machine learning pipelines in real-world applications
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42:53In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open s…
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Enabling End-to-End Machine Learning Pipelines in Real-World Applications
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42:56In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open s…
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