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
Using machine learning to modernize medical triage and monitoring systems
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In this episode of the Data Exchange I speak with Kira Radinsky, Chairwoman & Chief Technology Officer at Diagnostic Robotics, a startup…
Connecting Reinforcement Learning to Simulation Software
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In this episode of the Data Exchange I speak with Max Pumperla, deep learning engineer at Pathmind and a contributor to many open source…
Improving the hiring pipeline for software engineers
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In this episode of the Data Exchange I speak with Karthik Ramasamy (Senior Director Of Engineering at Splunk) and Arun Kejariwal (experi…
How to build state-of-the-art chatbots
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In this episode of the Data Exchange I speak with Lauren Kunze, CEO of Pandorabots, a widely used platform for building chatbots. About …
Democratizing machine learning
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In this episode of the Data Exchange I speak with Ameet Talwalkar, co-founder and Chief Scientist at Determined AI1, and an Assistant Pr…
How graph technologies are being used to solve complex business problems
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In this episode of the Data Exchange I speak with Denise Gosnell, Chief Data Officer at DataStax. Denise is also the co-author of the ne…
Machines for unlocking the deluge of COVID-19 papers, articles, and conversations
In this episode of the Data Exchange I speak with Amy Heineike, Principal Product Architect at Primer.ai, a startup building machines that can read and write. Primer recently used their technology to…
Designing machine learning models for both consumer and industrial applications
In this episode of the Data Exchange I speak with Christopher Nguyen, CEO of Arimo (a Panasonic company). I first met Christopher in the early days of Apache Spark, Arimo was one of the first compani…
Building open source developer tools for language applications
In this episode of the Data Exchange I speak with Matthew Honnibal, founder of Explosion AI, a startup focused on building developer tools for AI and natural language processing. Matthew and team are…
Viewing machine learning and data science applications as sociotechnical systems
In this episode of the Data Exchange I speak with Chris Wiggins, Associate Professor at Columbia University, Chief Data Scientist at the New York Times, and co-founder of hackNY. He began his career …
Identifying and mitigating liabilities and risks associated with AI
In this episode of the Data Exchange I speak with Andrew Burt, Chief Legal Officer at Immuta and co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance and related topics.…
How machine learning is being used in quantitative finance
In this episode of the Data Exchange our special correspondent and editor Jenn Webb speaks with Arum Verma, Head of Quantitative Research Solutions at Bloomberg. My first job post-academia was as lea…
Understanding machine learning model governance
In this episode of the Data Exchange I speak with Harish Doddi, cofounder of Datatron, a startup focused on helping companies operationalize machine learning. Over the past two years, Harish has work…
Improving performance and scalability of data science libraries
In this episode of the Data Exchange I speak with Wes McKinney, Director of Ursa Labs and an Apache Arrow PMC Member. Wes is the creator of pandas, one of the most widely used Python libraries for da…