
182 episodes

The Data Exchange with Ben Lorica Ben Lorica
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- Technology
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5.0 • 248 Ratings
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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/].
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Building and Deploying Foundation Models for Enterprises
Jonas Andrulis is the Founder & CEO Aleph Alpha, a startup that provides enterprise software solutions backed with their own large language models and multimodal models
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Detailed show notes can be found on The Data Exchange web site. -
Building Robust AI Infrastructure for Critical Solutions
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.
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Detailed show notes can be found on The Data Exchange web site. -
Machine Learning for High-Risk Applications
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.
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Detailed show notes can be found on The Data Exchange web site. -
Boosting Perception With Synthetic Data
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. -
Revolutionizing B2B: Unleashing the Power of AI and Data
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/
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Detailed show notes can be found on The Data Exchange web site. -
AI Metadata
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.
Customer Reviews
Indispensable source of information about trends in all things Data
No one monitors the pulse of data trends better than Ben. This pod cast and his other Gradient Flow content are indispensable for those of us in the data world.
Incredible podcast!
This show is designed for people who want to learn, technology, science, data, data science, and AI, and is really helpful. Love this show 😊I'm very excited to hear more of her content !! The quality was really good. Highly recommend subscribing to it!
Really Good Interviews!
This podcast covers a lot of really interesting topics and features a really knowledgeable host. There is so much information out there about Data, Machine Learning, and AI. I still appreciate everything about this production. I suggest it when I can. Keep it up