MAD Data: An ML, AI, and Data Podcast by Databand

En podcast af Databand

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31 Episoder

  1. Proactive Data Quality For Data-Intensive Organizations

    Udgivet: 26.1.2022
  2. Proactive Data Quality: Why Prevention Is The Best Cure

    Udgivet: 12.1.2022
  3. Data Quality: What's Your Plan?

    Udgivet: 29.12.2021
  4. Built For Complexity: Data Observability Meets Data Integration

    Udgivet: 15.12.2021
  5. What's Next in Data Observability & Data Tooling

    Udgivet: 1.12.2021
  6. Hello Big Complexity: Is Your Modern Data Stack Ready?

    Udgivet: 17.11.2021
  7. Modern Data Love: Why Data Observability & Data Integration Belong Together

    Udgivet: 3.11.2021
  8. Data Engineering Comes Of Age: Choosing A Path That Resonates With What You Love

    Udgivet: 22.10.2021
  9. Data Is Everyone's Business: The Case For Data Access & Data Observability

    Udgivet: 8.10.2021
  10. Defining Data Quality: Data SLA Nightmares & Lessons Learned

    Udgivet: 24.9.2021
  11. Why Data Quality Begins At The Source

    Udgivet: 10.9.2021

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It’s a mad world out there, and we’re not referring to the global headlines. Machine learning, AI, and data now steer every company's decision-making – whether big or small. Enter the MAD Data podcast. Every month, we talk to experts like you who use machine learning, AI, and data to transform their businesses. So join us as we highlight the stories that shape the fields of data engineering, science, and analytics both for today and the future. MAD Data podcast is brought to you by Databand, the data industry's 1st proactive data observability platform.

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