The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Thursdays

Thursdays

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251 Episodes

  1. Machine Learning at Discord

    Published: 20/01/2022
  2. Applications of Knowledge Graphs

    Published: 13/01/2022
  3. Key AI and Data Trends for 2022

    Published: 6/01/2022
  4. Large Language Models

    Published: 30/12/2021
  5. Data and Machine Learning Platforms at Shopify

    Published: 23/12/2021
  6. What is AI Engineering?

    Published: 16/12/2021
  7. NLP and AI in Financial Services

    Published: 9/12/2021
  8. Modern Experimentation Platforms

    Published: 2/12/2021
  9. Reinforcement Learning in Real-World Applications

    Published: 24/11/2021
  10. MLOps Anti-Patterns

    Published: 18/11/2021
  11. Why You Need a Modern Metadata Platform

    Published: 11/11/2021
  12. Making Large Language Models Smarter

    Published: 4/11/2021
  13. AI Begins With Data Quality

    Published: 28/10/2021
  14. Modernizing Data Integration

    Published: 21/10/2021
  15. Deploying Machine Learning Models Safely and Systematically

    Published: 14/10/2021
  16. Large-scale machine learning and AI on multi-modal data

    Published: 7/10/2021
  17. Machine Learning in Astronomy and Physics

    Published: 30/09/2021
  18. The Unreasonable Effectiveness of Multiple Dispatch

    Published: 23/09/2021
  19. How To Lead In Data Science

    Published: 16/09/2021
  20. Why interest in graph databases and graph analytics are growing

    Published: 9/09/2021

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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/].

Visit the podcast's native language site