The Data Exchange with Ben Lorica
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
- Update frequency
- every 7 days
- Average duration
- 41 minutes
- Episodes
- 302
- Years Active
- 2019 - 2025
Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next
Jerry Kaplan is the author of the new book “Generative Artificial Intelligence: What Everyone Needs to Know”.
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2024 Themes and Trends in AI
This episode is our annual deep dive into the themes and trends of AI in 2024, emphasizing the democratization of AI hardware, advancements in generative AI models, and the integration of AI into var…
The AI Infrastructure Revolution: From Cloud Computing to Data Center Design
Bryan Cantrill, CTO and Co-founder of Oxide Cloud Computer, leads a startup delivering integrated hardware and software solutions for enterprises seeking cloud computing systems with hyperscaler agil…
AI in Depth: Transforming Transportation, Enterprise, and Policy
Evangelos Simoudis is a seasoned venture investor and a senior advisor to global corporations, and Managing Director at Synapse Partners, a company that invests in startups developing enterprise appl…
Software Meets Hardware: Enabling AMD for Large Language Models
Sharon Zhou and Greg Diamos are co-founders of Lamini, a startup at the forefront of enabling enterprise adoption of large language models (LLMs). We discussed Lamini’s work with AMD, which focused o…
Incentives are Superpowers: Mastering Motivation in the AI Era
Uri Gneezy is Professor of Economics and Strategy at UC San Diego, and author of our 2023 Book of the Year, “Mixed Signals: How Incentives Really Work”.
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Synthetic Futures: The Convergence of Biology and AI
Dmitriy Ryaboy is the VP of AI Enablement at Ginkgo Bioworks, a startup that uses machine learning and AI to develop a wide range of applications. The conversation focuses on the intersection of AI,…
AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity
Jian Zhang is co-founder, CTO, VP Engineering at Nexusflow AI a startup that uses Generative AI to build tools for Cybersecurity. This conversation revolves around the integration of various AI comp…
Leveling Up: Tools and Techniques to Make AI Development More Accessible
Sarmad Qadri, founder and CEO of LastMile, a startup building an AI developer platform for engineering teams. This conversation delves into key artificial intelligence and machine learning themes, fo…
LLMs on CPUs, Period
Nir Shavit, Professor at MIT’s Computer Science and Artificial Intelligence Laboratory, is also a Founder of Neural Magic, a startup working to accelerate open-source large language models and simpli…
Democratizing Wealth Management With AI
Chirag Yagnik is a co-founder of Arta , a company that harnesses innovations in artificial intelligence and software to develop wealth management solutions. Arta aims to democratize access to sophist…
Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs
Juan Sequeda (Principal Scientist & Head of AI Lab) and Dean Allemang (Principal Solutions Architect) are knowledge graph experts at data.world, a startup that offers a data catalog powered by a know…
TimeGPT: Machine Learning for Time Series, Made Accessible
Max Mergenthaler (CEO) and Azul Garza Ramirez (CTO) are co-founders of Nixtla, a startup that seeks to make cutting-edge predictive insights widely accessible. In this episode we discuss TimeGPT, Ni…
Best Practices for Building LLM-Backed Applications
Waleed Kadous, Chief Scientist at Anyscale, is one of my go-to experts for best practices on building applications leveraging large language models.
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The Evolution of Crypto, Blockchain, and Web3
Kieren James-Lubin, CEO of BlockApps and the Co-Chair Technical Steering Community for the Enterprise Ethereum Alliance.
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Open Source Data and AI: Past, Present, Future
Earlier this year, I had a conversation with Sam Ramji, Chief Strategy Officer at DataStax and host of the Open||Source||Data podcast, where we talked about the evolution of big data and AI technolo…
Orchestration for LLM and RAG applications
Malte Pietsch is co-founder & CTO of Deepset, the company behind the popular open source project Haystack, an orchestration framework for LLMs.
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Reflections from the First AI Conference in San Francisco
In this episode, Paco Nathan and I dive into insights from the inaugural AI Conference in San Francisco (video of talks can be found here).
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Kùzu: A simple, extremely fast, and embeddable graph database
Semih Salihoglu is an Associate Professor at University of Waterloo, and co-creator of Kuzu an open source embeddable property graph database management system.
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Navigating the Nuances of Retrieval Augmented Generation
Philipp Moritz (Co-founder and CTO) and Goku Mohandas (ML and Product Lead) of Anyscale do a deep dive into retrieval augmented generation (RAG) and large language models (LLMs).
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