The Data Exchange with Ben Lorica

Ben Lorica
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Jan 21, 2021 • 40min

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 democratize deep learning for science.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Jan 14, 2021 • 48min

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.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Jan 7, 2021 • 52min

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 data providers and suppliers, with data buyers and users. Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Dec 31, 2020 • 53min

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 taking a look back at some of our predictions from last year which included applications of reinforcement learning, end-to-end machine learning platforms, and more. This year we organized trends in the following categories:Tools for building and managing machine learning and AI applications.Foundational data technologies.(Cloud) Computing and Hardware.Emerging trends in AI.This episode provides a sneak peak to a formal report that comes out in early 2021. Sign-up here and we will send you a copy of our 2021 Trends Report as soon as it comes out.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Dec 24, 2020 • 48min

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 is the author of a recent book entitled “Data Teams: A Unified Management Model for Successful Data-Focused Teams”.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Dec 17, 2020 • 47min

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 leading experts in cybersecurity and risk management, and he has written numerous influential essays on security, privacy, and risk (examples here and here). Andrew serves as co-founder of a new law firm focused on AI compliance and related topics.  BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate those risks.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Dec 10, 2020 • 39min

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. Prior to starting Parity, Rumman was Global Lead for Responsible AI at Accenture Applied Intelligence.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Dec 3, 2020 • 38min

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 augmentation, and adversarial training in NLP (paper, code).Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Nov 26, 2020 • 44min

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 conversational applications and I have frequently used him as a resource to understand the latest in speech systems.  We previously co-wrote an article that listed out recommendations for teams building speech applications. We also had a previous conversation on the impact of deep learning and big data on speech technologies.Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.
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Nov 19, 2020 • 46min

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 episode is focused on the current state of tools and techniques for securing machine learning applications.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

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