Omar Maher is Director of Product Marketing at Parallel Domain, a startup that is advancing machine perception capabilities by harnessing the power of synthetic data. We delve into the growing adoption of synthetic data and the factors driving its use. We discuss major developments in synthetic data generation and its overlap with Generative AI. The conversation also covers data privacy, intellectual property, the generation of structured data like LiDAR, the current state of adoption, and key research directions to overcome existing challenges.

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Detailed show notes can be found on The Data Exchange web site.

Simon Chan is the General Partner at Firsthand Alliance, a venture capital fund focused on the future of B2B and enterprise software. We explore the evolution of AI, cloud computing, and business collaboration tools, revealing how a new generation of generative AI technologies is enabling applications to generate content and drive transformative innovation across various industries.

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Detailed show notes can be found on The Data Exchange web site.

Gev Sogomonian is co-author of AimStack, an open-source, self-hosted AI metadata tracker that logs all your AI metadata, such as experiments and prompts, and provides a user-friendly UI for comparing and observing them. It also offers an SDK for programmatically querying tracked metadata.

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Detailed show notes can be found on The Data Exchange web site.

Raymond Perrault is a Distinguished Computer Scientist at SRI International, and Co-Director of the Steering Committee for the AI Index, an annual report that tracks, collates, distills, and visualizes data relating to AI, to help inform decision-makers and teams to take meaningful action for responsible and ethical AI. 

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Detailed show notes can be found on The Data Exchange web site.

Hagay Lupesko, is VP Engineering at MosaicML, a startup that enables teams to easily train large AI models on their data and in their own secure environment. We discuss the the evolution of cloud based machine learning (from “traditional” ML through LLMs), his experience building machine learning applications at leading technology companies, and the need for companies to build their own custom foundation models.

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Detailed show notes can be found on The Data Exchange web site.

Jakub Zavrel is the Founder and CEO at Zeta Alpha, a premier Neural Discovery Platform that utilizes cutting-edge Neural Search technology to enhance the way you and your team uncover, arrange, and disseminate knowledge. Our conversation focuses on the latest developments in artificial intelligence, taking inspiration from their recent viral article featuring the top the 100 most cited AI papers of 2022.

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Detailed show notes can be found on The Data Exchange web site.

Chris Wiggins is a Professor at Columbia University and the Chief Data Scientist at the NYTimes.  He is also co-author of a fascinating new historical exploration of how data has been used as a tool in shaping society, from the census to eugenics to Google search. How Data Happened traces the trajectory of data and explores new mathematical and computational techniques that serve to shape people, ideas, society, and economies.

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Detailed show notes can be found on The Data Exchange web site.

Paras Jain and Sarah Wooders are graduate students at UC Berkeley’s Sky Computing Lab. They are part of the team behind Skyplane, and open source project that accelerates wide-area transfers in the cloud via overlay routing and parallelism. 

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Detailed show notes can be found on The Data Exchange web site.

Pablo Villalobos is a Staff Researcher at  Epoch, and lead author of the recent paper “Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning”.  We discuss the key findings in this paper, as well as a related study Pablo conducted on scaling laws. 

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Detailed show notes can be found on The Data Exchange web site.

Jinsung Yoon (Senior Research Scientist) and Sercan Arik (Staff Research Scientist and Manager) are part of the Google team behind EHR-Safe,  a set of tools for generating highly realistic and privacy-preserving synthetic Electronic Health Records.

Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/

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Detailed show notes can be found on The Data Exchange web site.