MAD Data: An ML, AI, and Data Podcast by Databand
Un podcast de Databand
Catégories:
31 Épisodes
-
Proactive Data Quality For Data-Intensive Organizations
Publié: 26/01/2022 -
Proactive Data Quality: Why Prevention Is The Best Cure
Publié: 12/01/2022 -
Data Quality: What's Your Plan?
Publié: 29/12/2021 -
Built For Complexity: Data Observability Meets Data Integration
Publié: 15/12/2021 -
What's Next in Data Observability & Data Tooling
Publié: 01/12/2021 -
Hello Big Complexity: Is Your Modern Data Stack Ready?
Publié: 17/11/2021 -
Modern Data Love: Why Data Observability & Data Integration Belong Together
Publié: 03/11/2021 -
Data Engineering Comes Of Age: Choosing A Path That Resonates With What You Love
Publié: 22/10/2021 -
Data Is Everyone's Business: The Case For Data Access & Data Observability
Publié: 08/10/2021 -
Defining Data Quality: Data SLA Nightmares & Lessons Learned
Publié: 24/09/2021 -
Why Data Quality Begins At The Source
Publié: 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.
