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

A podcast by Databand

Categories:

Business Education Technology

31 Episodes

  1. Proactive Data Quality For Data-Intensive Organizations

    Published: 1/26/2022

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

    Published: 1/12/2022

  3. Data Quality: What's Your Plan?

    Published: 12/29/2021

  4. Built For Complexity: Data Observability Meets Data Integration

    Published: 12/15/2021

  5. What's Next in Data Observability & Data Tooling

    Published: 12/1/2021

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

    Published: 11/17/2021

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

    Published: 11/3/2021

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

    Published: 10/22/2021

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

    Published: 10/8/2021

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

    Published: 9/24/2021

  11. Why Data Quality Begins At The Source

    Published: 9/10/2021

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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.