The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Thursdays

Thursdays

Categories:

270 Episodes

  1. Applications of Knowledge Graphs

    Published: 1/13/2022
  2. Key AI and Data Trends for 2022

    Published: 1/6/2022
  3. Large Language Models

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 9/30/2021
  17. The Unreasonable Effectiveness of Multiple Dispatch

    Published: 9/23/2021
  18. How To Lead In Data Science

    Published: 9/16/2021
  19. Why interest in graph databases and graph analytics are growing

    Published: 9/9/2021
  20. The State of Data Journalism

    Published: 9/2/2021

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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/].