MAD Data: An ML, AI, and Data Podcast by Databand
En podkast av Databand
31 Episoder
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The Impacts Of Generative AI For Data Integration
Publisert: 8.6.2023 -
All Things Airflow: Past, Present And Future
Publisert: 23.3.2023 -
Data Quality Through The Lens Of An Analytics Engineer
Publisert: 24.2.2023 -
The Future Of Data Fabric And Data Integration
Publisert: 7.12.2022 -
How To Reduce Data System Complexities
Publisert: 9.11.2022 -
How Incident Management Supplements Data Governance
Publisert: 17.10.2022 -
How Engineering Can Deliver Better Value For Data Science
Publisert: 16.9.2022 -
Lessons Learned Building World-Class Data Engineering Teams
Publisert: 11.8.2022 -
The Case for Dataset Centric Visualization
Publisert: 27.7.2022 -
Unveiling The IBM Acquisition Of Databand
Publisert: 20.7.2022 -
Two Philadelphians Talk Data Startups And Building An Analytics Community
Publisert: 22.6.2022 -
How Warby Parker Builds Repeatable Data Engineering Playbooks
Publisert: 10.6.2022 -
How Pinterest Is Migrating To The Modern Data Cloud With Confidence
Publisert: 25.5.2022 -
How To Avoid The Vortex Of Data Debt
Publisert: 11.5.2022 -
How To Treat Data As A Product
Publisert: 27.4.2022 -
Lights On Your Dark Data Quality Issues
Publisert: 13.4.2022 -
Clean Data At The Source: When & Why This Matters To Your Business
Publisert: 28.3.2022 -
Next Gen Data Demands: Real-Time Alerting & Complex Data Ingestion
Publisert: 17.3.2022 -
The Case For Data Catalogs: Are Your Teams On The Same Page?
Publisert: 23.2.2022 -
Where Should Data Quality Sit? It Depends.
Publisert: 9.2.2022
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.
