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S2E5 Chang She on Data Infrastructure for AI
As a pandas core contributor and early Parquet adopter who built AI data pipelines at streaming company Tubi TV, Chang She saw firsthand why the traditional data stack breaks down for AI…
S2E4 Aishwarya Naresh Reganti on Making AI Work in Production
As the founder and CEO of LevelUp Labs, Aishwarya Naresh Reganti helps organizations “really grapple with AI,” and through her teaching, she guides individuals who are doing the same. Aishwarya…
S2E3 Sharon Zhou on Post-Training
Post-training gets your model to behave the way you want it to. As AMD VP of AI Sharon Zhou explains to Ben on this episode, the frontier labs are convinced, but the average developer is still…
S2E2 Fabiana Clemente on Synthetic Data for AI and Agentic Systems
Synthetic data has been around for a long time, decades even. But as KPMG’s Fabiana Clemente points out, “That doesn’t mean there aren’t a lot of misconceptions.” Fabiana sat down with Ben to clarify…
S2E1 Aurimas Griciūnas on AI Teams and Reliable AI Systems
SwirlAI founder Aurimas Griciūnas helps tech professionals transition into AI roles and works with organizations to create AI strategy and develop AI systems. Aurimas joins Ben to discuss the changes…
S1E37 The Year in AI with Ksenia Se
As the founder, editor, and lead writer of Turing Post, Ksenia Se spends her days peering into the emerging future of artificial intelligence. She joined Ben to discuss the current state of adoption:…
S1E36 The LLMOps Shift with Abi Aryan
MLOps is dead. Well, not really, but for many the job is evolving into LLMOps. In this episode, Abide AI founder and LLMOps author Abi Aryan joins Ben to discuss what LLMOps is and why it’s needed,…
S1E35 Laurence Moroney on AI at the Edge
In this episode, Laurence Moroney, director of AI at Arm, joins Ben Lorica to chat about the state of deep learning frameworks—and why you may be better off thinking a step higher, on the solution…
S1E34 Chris Butler on GenAI in Product Management
In this episode, Ben Lorica and Chris Butler, director of product operations for GitHub's Synapse team, chat about the experimentation Chris is doing to incorporate generative AI into the product…
S1E33 Context Engineering with Drew Breunig
In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next.…
S1E32 Emmanuel Ameisen on LLM Interpretability
In this episode, Ben Lorica and Anthropic interpretability researcher Emmanuel Ameisen get into the work Emmanuel’s team has been doing to better understand how LLMs like Claude work. Listen in to…
S1E29 Understanding A2A with Heiko Hotz and Sokratis Kartakis
Everyone is talking about agents: single agents and, increasingly, multi-agent systems. What kind of applications will we build with agents, and how will we build with them? How will agents…
S1E31 Faye Zhang on Using AI to Improve Discovery
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…
S1E30 Luke Wroblewski on When Databases Talk Agent-Speak
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…
S1E28 Jay Alammar on Building AI for the Enterprise
Jay Alammar, director and Engineering Fellow at Cohere, joins Ben Lorica to talk about building AI applications for the enterprise, using RAG effectively, and the evolution of RAG into agents. Listen…
S1E27 Phillip Carter on Where Generative AI Meets Observability
Phillip Carter, formerly of Honeycomb, and Ben Lorica talk about observability and AI—what observability means, how generative AI causes problems for observability, and how generative AI can be used…
S1E26 Raiza Martin on Building AI Applications for Audio
Audio is being added to AI everywhere: both in multimodal models that can understand and generate audio and in applications that use audio for input. Now that we can work with spoken language, what…
S1E25 Stefania Druga on Designing for the Next Generation
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 kids,…
S1E24 Douwe Kiela on Why RAG Isn’t Dead
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…
S1E23 Danielle Belgrave on Generative AI in Pharma and Medicine
Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP of AI and machine learning at GSK (formerly GlaxoSmithKline). She and Ben discuss using AI and machine…
Frequently Asked Questions
Generative AI in the Real World has published 42 episodes since August 2025, covering topics in Technology.
Generative AI in the Real World is currently sporadic with new episodes weekly. Average episode length is 34m.
