Generative AI is transforming industries, but its full potential is hampered by a critical bottleneck: data. This episode explores the challenges of processing unstructured data, the shift from SQL-centric to AI-centric systems, and the emerging tools that are bridging the gap between AI models and real-world data.

This episode relies on visuals, to view the visual presentation, go to the Youtube version:  https://www.youtube.com/watch?v=GnCA8VcCazY

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Robert Nishihara is co-founder of Anyscale and co-creator of Ray, the open source project that has emerged as the AI Compute Engine.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Qian Li and Peter Kraft, co-founders at DBOS, Inc., a startup that’s building a serverless platform for building highly reliable applications. We dive into DBOS, a system built on Postgres that addresses workflow management and application durability.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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/

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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.

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.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Vaibhav Gupta is the CEO and co-founder of Boundary. In this episode, we explore BAML, an open source domain-specific language designed to streamline interactions with large language models (LLMs). 

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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.