MAD Data: An ML, AI, and Data Podcast by Databand
A podcast by Databand
Categories:
31 Episodes
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Proactive Data Quality For Data-Intensive Organizations
Published: 26/01/2022 -
Proactive Data Quality: Why Prevention Is The Best Cure
Published: 12/01/2022 -
Data Quality: What's Your Plan?
Published: 29/12/2021 -
Built For Complexity: Data Observability Meets Data Integration
Published: 15/12/2021 -
What's Next in Data Observability & Data Tooling
Published: 1/12/2021 -
Hello Big Complexity: Is Your Modern Data Stack Ready?
Published: 17/11/2021 -
Modern Data Love: Why Data Observability & Data Integration Belong Together
Published: 3/11/2021 -
Data Engineering Comes Of Age: Choosing A Path That Resonates With What You Love
Published: 22/10/2021 -
Data Is Everyone's Business: The Case For Data Access & Data Observability
Published: 8/10/2021 -
Defining Data Quality: Data SLA Nightmares & Lessons Learned
Published: 24/09/2021 -
Why Data Quality Begins At The Source
Published: 10/09/2021
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.
