O'Reilly Media
npub1f2xpul9tswyglv66knzhxzc8fedjnx4607kauwmyw72u2xxflpfs2s2tr7@drss.io
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology
Generative AI in the Real World: Faye Zhang on Using AI to Improve Discovery
Save into
18 Sep 2025
In this episode, Ben Lorica and AI engineer Faye Zhang talk about discoverability: how to use AI to build search and recommendation engines that actually find what you want. Listen in to learn how AI
Generative AI in the Real World: Luke Wroblewski on When Databases Talk Agent-Speak
Save into
4 Sep 2025
Join Luke Wroblewski and Ben Lorica as they talk about the future of software development. What happens when we have databases that are designed to interact with agents and language models rather
Generative AI in the Real World: Stefania Druga on Designing for the Next Generation
Save into
26 Jun 2025
How do you teach kids to use and build with AI? That’s what Stefania Druga works on. It’s important to be sensitive to their creativity, sense of fun, and desire to learn. When designing for
Generative AI in the Real World: Douwe Kiela on Why RAG Isn’t Dead
Save into
12 Jun 2025
Join our host Ben Lorica and Douwe Kiela, cofounder of Contextual AI and author of the first paper on RAG, to find out why RAG remains as relevant as ever. Regardless of what you call it, retrieval
Machine learning for operational analytics and business intelligence
Save into
10 Oct 2019
In 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
Machine learning and analytics for time series data
Save into
26 Sep 2019
In 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
Understanding deep neural networks
Save into
12 Sep 2019
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
Becoming a machine learning practitioner
Save into
29 Aug 2019
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
Labeling, transforming, and structuring training data sets for machine learning
Save into
15 Aug 2019
In 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
Make data science more useful
Save into
1 Aug 2019
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
Acquiring and sharing high-quality data
Save into
18 Jul 2019
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
Tools for machine learning development
Save into
3 Jul 2019
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
Enabling end-to-end machine learning pipelines in real-world applications
Save into
20 Jun 2019
In 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
