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

Podcast készítő Databand

Kategóriák:

Üzlet Oktatás Technológia

31 Epizód

  1. Proactive Data Quality For Data-Intensive Organizations

    Közzétéve: 2022. 01. 26.

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

    Közzétéve: 2022. 01. 12.

  3. Data Quality: What's Your Plan?

    Közzétéve: 2021. 12. 29.

  4. Built For Complexity: Data Observability Meets Data Integration

    Közzétéve: 2021. 12. 15.

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

    Közzétéve: 2021. 12. 01.

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

    Közzétéve: 2021. 11. 17.

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

    Közzétéve: 2021. 11. 03.

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

    Közzétéve: 2021. 10. 22.

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

    Közzétéve: 2021. 10. 08.

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

    Közzétéve: 2021. 09. 24.

  11. Why Data Quality Begins At The Source

    Közzétéve: 2021. 09. 10.

2 / 2

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.
Visit the podcast's native language site