281 Epizód

  1. Beyond ETL: How Snow Leopard Connects AI, Agents, and Live Data

    Közzétéve: 2024. 12. 05.

  2. 2024 Generative AI in Healthcare Survey Results

    Közzétéve: 2024. 11. 28.

  3. Monthly Roundup: BAML, Tencent’s Hunyuan Model, AI & Kubernetes, and the Future of Voice AI

    Közzétéve: 2024. 11. 21.

  4. Building the Future of Finance: Inside AI Valuation Bots

    Közzétéve: 2024. 11. 14.

  5. Unleashing the Power of BAML in LLM Applications

    Közzétéve: 2024. 11. 07.

  6. Cracking the Code: How Enterprises Are Adopting Generative AI

    Közzétéve: 2024. 10. 31.

  7. Monthly Roundup: Ray Compiled Graphs, Llama 3.2 and Multimodal AI, and Structured Data for RAG

    Közzétéve: 2024. 10. 24.

  8. Reimagining Code: The AI-Driven Transformation of Programming and Data Analytics

    Közzétéve: 2024. 10. 17.

  9. The Security Debate: How Safe is Open-Source Software?

    Közzétéve: 2024. 10. 10.

  10. Generative AI in Voice Technology

    Közzétéve: 2024. 10. 03.

  11. Building An Experiment Tracker for Foundation Model Training

    Közzétéve: 2024. 09. 26.

  12. Monthly Roundup: AI Regulations, GenAI for Analysts, Inference Services, and Military Applications

    Közzétéve: 2024. 09. 19.

  13. Unlocking the Power of LLMs with Data Prep Kit

    Közzétéve: 2024. 09. 12.

  14. Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations

    Közzétéve: 2024. 09. 05.

  15. Bridging the Hardware-Software Divide in AI

    Közzétéve: 2024. 08. 29.

  16. Monthly Roundup: The Economic Realities of Large Language Models

    Közzétéve: 2024. 08. 22.

  17. From Hype to Reality: The Current State of Enterprise Generative AI Adoption

    Közzétéve: 2024. 08. 15.

  18. Automating Unstructured Data Extraction with LLMs

    Közzétéve: 2024. 08. 08.

  19. Generative AI in Context: Hybrid Intelligence and Responsible Development

    Közzétéve: 2024. 08. 01.

  20. Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology

    Közzétéve: 2024. 07. 25.

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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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