Ben Lorica

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/].

Author

Ben Lorica

Category

Technology

Podcast website

thedataexchange.media

Latest episode

Jul 11, 2026

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Episodes

Business at the speed of AI: Lessons from Rakuten 16.01.2020

The Data Exchange Podcast: Bahman Bahmani on attracting and retaining talent, and the importance of delivery-oriented teams. In this episode of the Data Exchange I speak with Bahman Bahmani , VP of Data Science and Engineering at Rakuten , a large Japanese ecommerce and online retail company. When I first met Bahman several years ago, he was finishing up his Computer Science PhD at Stanford, and a...

The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks 09.01.2020

In this episode of the Data Exchange I speak with Nir Shavit , Professor of EECS at MIT, and cofounder and CEO of Neural Magic , a startup that is creating software to enable deep neural networks to run on commodity CPUs (at GPU speeds or faster). Their initial products are focused on model inference , but they are also working on similar software for model training. Our conversation spanned many...

Key AI and Data Trends for 2020 26.12.2019

In this episode of the Data Exchange , I speak with my podcast co-organizer Mikio Braun , data scientist at GetYourGuide , and a former machine learning researcher and data architect. Mikio and I go out on a limb and speculate about new trends in AI and Data that we think people should pay attention to in 2020. Our conversation spanned many topics, and we listed trends in: Models: reinforcement le...

The evolution of TensorFlow and of machine learning infrastructure 12.12.2019

In this episode of the Data Exchange I speak with Rajat Monga , one of the founding members of the TensorFlow Engineering team. Up until recently Rajat was the engineering manager for TensorFlow at Google.  Our conversation spanned many topics, including: TFX , a production scale machine learning platform based on TensorFlow. Distributed training. MLIR (Multi-Level Intermediate Representation), “a...

Building large-scale, real-time computer vision applications 26.11.2019

In this episode of the Data Exchange I speak with Reza Zadeh , founder and CEO of Matroid , a startup focused on making computer vision applications easy to build and deploy. Reza is also an adjunct professor at Stanford. This particular conversation spanned many topics pertaining to computer vision, including: Challenges in building large-scale, real-time computer vision applications. Robustness...

Taking stock of foundational tools for analytics and machine learning 12.11.2019

In this episode of The Data Exchange , I speak with Paco Nathan, author, teacher, and founder of Derwen.ai , a boutique consulting firm specializing in Data, ML, and AI. Paco consults with companies and speaks before audiences all over the world, and I plan to have him as a frequent guest on this podcast to draw on his observations of diverse organizations. This particular conversation spanned man...

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