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

Podcast készítő Databand

Kategóriák:

Üzlet Oktatás Technológia

31 Epizód

  1. The Impacts Of Generative AI For Data Integration

    Közzétéve: 2023. 06. 08.

  2. All Things Airflow: Past, Present And Future

    Közzétéve: 2023. 03. 23.

  3. Data Quality Through The Lens Of An Analytics Engineer

    Közzétéve: 2023. 02. 24.

  4. The Future Of Data Fabric And Data Integration

    Közzétéve: 2022. 12. 07.

  5. How To Reduce Data System Complexities

    Közzétéve: 2022. 11. 09.

  6. How Incident Management Supplements Data Governance

    Közzétéve: 2022. 10. 17.

  7. How Engineering Can Deliver Better Value For Data Science

    Közzétéve: 2022. 09. 16.

  8. Lessons Learned Building World-Class Data Engineering Teams

    Közzétéve: 2022. 08. 11.

  9. The Case for Dataset Centric Visualization

    Közzétéve: 2022. 07. 27.

  10. Unveiling The IBM Acquisition Of Databand

    Közzétéve: 2022. 07. 20.

  11. Two Philadelphians Talk Data Startups And Building An Analytics Community

    Közzétéve: 2022. 06. 22.

  12. How Warby Parker Builds Repeatable Data Engineering Playbooks

    Közzétéve: 2022. 06. 10.

  13. How Pinterest Is Migrating To The Modern Data Cloud With Confidence

    Közzétéve: 2022. 05. 25.

  14. How To Avoid The Vortex Of Data Debt

    Közzétéve: 2022. 05. 11.

  15. How To Treat Data As A Product

    Közzétéve: 2022. 04. 27.

  16. Lights On Your Dark Data Quality Issues

    Közzétéve: 2022. 04. 13.

  17. Clean Data At The Source: When & Why This Matters To Your Business

    Közzétéve: 2022. 03. 28.

  18. Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion

    Közzétéve: 2022. 03. 17.

  19. The Case For Data Catalogs: Are Your Teams On The Same Page?

    Közzétéve: 2022. 02. 23.

  20. Where Should Data Quality Sit? It Depends.

    Közzétéve: 2022. 02. 09.

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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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