Amin Ahmad, the co-founder of Vectara, has played a crucial role in developing a powerful API platform specifically tailored for developers.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Jonas Andrulis is the Founder & CEO Aleph Alpha, a startup that provides enterprise software solutions backed with their own large language models and multimodal modelsSubscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Alex Remedios, founder of Treebeardtech, leads a London-based consulting firm dedicated to assisting machine learning teams in constructing dependable, secure, and adaptable cloud infrastructures crucial for delivering business-critical artificial intelligence solutions. Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Patrick Hall, is co-founder of BNH and a visiting faculty member of decision sciences at the George Washington University School of Business.  Agus Sudjianto, EVP, Head of Corporate Model Risk at Wells Fargo. We explore several topics covered in the new book Machine Learning for High-Risk Applications, co-authored by Patrick and with a foreword by Agus.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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. Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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. Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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. Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.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/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Brandon Jenkins, Co-founder and COO of Fundrise, the largest direct-to-individuals alternative investment platform in the country. Our conversation centered on their recent foray into technology investing, specifically startup companies in the data infrastructure space. Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Zongheng Yang, is a researcher in the Sky Computing Lab at UC Berkeley, a multi-year research initiative that utilizes distributed systems, programming languages, security and machine learning to separate the services that a company requires from the choice of a specific cloud. He provides a detailed overview and update on SkyPilot, a groundbreaking intercloud broker that views the cloud ecosystem as a unified and integrated entity rather than a collection of disparate, largely incompatible clouds. SkyPilot enables users to run Machine Learning and Data Science batch jobs on any cloud, realize substantial cost savings, access the best hardware across clouds, and enjoy higher resource availability.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Jesse Anderson, Evan Chan, and I delve into the current developments and possibilities within the realm of data engineering and platforms. As the foundation for artificial intelligence and machine learning, data plays a crucial role in the advancement of these technologies. Download a copy of the FREE Report:  https://gradientflow.com/2023trendsreport/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

This week we discuss AI regulations with Gabriela Zanfir-Fortuna is VP for Global Privacy at the Future of Privacy Forum, and Andrew Burt, Managing Partner at BNH, the first law firm focused on AI and Analytics.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Dylan Patel is the Chief Analyst at SemiAnalysis,  a boutique semiconductor research and consulting firm focused on the semiconductor supply chain from chemical inputs to fabs to design IP and strategy. In this episode, we discuss the emerging open source software stack for PyTorch that makes it easier and more accessible to implement non-Nvidia backends (see his recent post).Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Peter Norvig (of Google and Stanford) and Alfred Spector (of MIT) are part of the team of authors behind the must-read book Data Science in Context: Foundations, Challenges, Opportunities. We discussed their recent book and tool a deep dive into their Data Science Analysis Rubric, and we also talked about a trending topics in AI including looming regulations, synthetic data, and Large Language and Foundation Models.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.