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The Data Exchange with Ben Lorica

Podcast The Data Exchange with Ben Lorica
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...

Available Episodes

5 of 262
  • The Essential Guide to AI Guardrails
    Shreya Rajpal serves as CEO and co-founder of Guardrails AI , where she also co-created the popular open-source project Guardrails, a Python framework designed to help developers build reliable AI applications.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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    47:27
  • Beyond ETL: How Snow Leopard Connects AI, Agents, and Live Data
    Deepti Srivastava is the Founder and CEO of Snow Leopard. We dive into Snow Leopard’s innovative approach to data integration, exploring its live data access model that bypasses traditional ETL pipelines to offer real-time data retrieval directly from source systems.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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    43:33
  • 2024 Generative AI in Healthcare Survey Results
    Happy Thanksgiving 🎊  In this episode David Talby (CTO of John Snow Labs) and I present the results of the 2024 Generative AI in Healthcare Survey. This episode is based on a recent webinar. To follow along with the slide presentation, check out the YouTube version of the podcast.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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    37:35
  • Monthly Roundup: BAML, Tencent’s Hunyuan Model, AI & Kubernetes, and the Future of Voice AI
    This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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    49:22
  • Building the Future of Finance: Inside AI Valuation Bots
    Vasant Dhar is a Professor at the Stern School of Business and the Center for Data Science at NYU. He’s one of the creators of the Damodaran Bot, an AI-powered system designed to emulate the valuation analysis and investment insights of renowned finance professor Aswath Damodaran. This episode explores the transformative impact of AI in finance, covering applications such as generative AI, AI-powered valuation bots, systematic investing, and narrative analysis. It delves into the development of an AI valuation bot, discussing motivations, technical approaches, and challenges.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Pocket Casts • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes - with links to many references - can be found on The Data Exchange web site.
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    37:45

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About 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/].
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