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
Tools for building robust, state-of-the-art machine learning models
In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators were recently awarded one of …
Creating Master Data at Scale with AI
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Sonal Goyal, founder of Aficx, a startup that builds soluti…
Bringing AI and computing closer to data sources
In this episode of the Data Exchange I speak with Bruno Fernandez-Ruiz, CTO and cofounder of Nexar, Inc., a startup that uses dash cams powered by vision-based applications to improve driving and log…
Deep Learning in the Sciences
In this episode of the Data Exchange I speak Bharath (“Bart”) Ramsundar, author and open source developer. While in graduate school, Bart created deepchem, an open source project that aims to democra…
Taking business intelligence and analyst tools to the next level
In this episode of the Data Exchange I speak with Ira Cohen: co-founder and Chief Data Scientist at Anodot, a startup that uses AI for business monitoring.
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Data exchanges and their applications in healthcare and the life sciences
In this episode of the Data Exchange I speak with Omer Dror, CEO and co-founder of Lynx.md, a startup that enables data exchanges and markets in the health and life sciences. Data exchanges match dat…
Key AI and Data Trends for 2021
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and my podcast co-organizer Mikio Braun. We began our conversation by ta…
A Unified Management Model for Successful Data-Focused Teams
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Jesse Anderson, Managing Director at the Big Data Institute. Jesse i…
Security and privacy for the disoriented
In this episode of the Data Exchange I speak with Dan Geer, Senior Fellow at In-Q-tel and Andrew Burt, co-founder and Managing Partner of BNH.ai and Chief Legal Officer at Immuta. Dan is one the lead…
The State of Responsible AI
In this episode of the Data Exchange I speak with Dr. Rumman Chowdhury, founder of Parity, a startup building products and services to help companies build and deploy ethical and responsible AI. Prio…
Improving the robustness of natural language applications
In this episode of the Data Exchange I speak with Jack Morris, a member of Google’s AI Residency program. He is co-creator of TextAttack, an open source framework for adversarial attacks, data augmen…
End-to-end deep learning models for speech applications
In this episode of the Data Exchange I speak with Yishay Carmiel, an AI Leader at Avaya, a company focused on digital communications. He has long been immersed in speech technologies and conversatio…
Securing machine learning applications
In this episode of the Data Exchange I speak with Ram Shankar, a Berkman Klein Center affiliate, and a researcher and engineer who works at the intersection of Machine Learning and Security. This epi…
Testing Natural Language Models
In this episode of the Data Exchange I speak with Marco Ribeiro, Senior Researcher at Microsoft Research, and lead author of the award-winning paper ”Beyond Accuracy: Behavioral Testing of NLP model…
Detecting Fake News
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In this episode of the Data Exchange I speak with Xinyi Zhou, a graduate student in Computer and Information Science at Syracuse Unive…
The Computational Limits of Deep Learning
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In this episode of the Data Exchange I speak with Neil Thompson, Research Scientist at Computer Science and Artificial Intelligence Lab (…
Making deep learning accessible
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In this episode of the Data Exchange I speak with Piero Molino, creator of Ludwig, a toolbox that allows users to train and test deep le…
Building and deploying knowledge graphs
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In this episode of the Data Exchange I speak with Mayank Kejriwal, a Research Assistant Professor in the Department of Industrial and Sy…
Financial Time Series Forecasting with Deep Learning
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In this episode of the Data Exchange I speak with Murat Özbayoğlu, Chair of Artificial Intelligence Engineering at TOBB University of Ec…
A programming language for scientific machine learning and differentiable programming
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In this episode of the Data Exchange I speak with Viral Shah, co-founder and CEO, Julia Computing. Along with his Julia language co-crea…