MAD Data: An ML, AI, and Data Podcast by Databand
Un pódcast de Databand
31 Episodo
-  The Impacts Of Generative AI For Data IntegrationPublicado: 8/6/2023
-  All Things Airflow: Past, Present And FuturePublicado: 23/3/2023
-  Data Quality Through The Lens Of An Analytics EngineerPublicado: 24/2/2023
-  The Future Of Data Fabric And Data IntegrationPublicado: 7/12/2022
-  How To Reduce Data System ComplexitiesPublicado: 9/11/2022
-  How Incident Management Supplements Data GovernancePublicado: 17/10/2022
-  How Engineering Can Deliver Better Value For Data SciencePublicado: 16/9/2022
-  Lessons Learned Building World-Class Data Engineering TeamsPublicado: 11/8/2022
-  The Case for Dataset Centric VisualizationPublicado: 27/7/2022
-  Unveiling The IBM Acquisition Of DatabandPublicado: 20/7/2022
-  Two Philadelphians Talk Data Startups And Building An Analytics CommunityPublicado: 22/6/2022
-  How Warby Parker Builds Repeatable Data Engineering PlaybooksPublicado: 10/6/2022
-  How Pinterest Is Migrating To The Modern Data Cloud With ConfidencePublicado: 25/5/2022
-  How To Avoid The Vortex Of Data DebtPublicado: 11/5/2022
-  How To Treat Data As A ProductPublicado: 27/4/2022
-  Lights On Your Dark Data Quality IssuesPublicado: 13/4/2022
-  Clean Data At The Source: When & Why This Matters To Your BusinessPublicado: 28/3/2022
-  Next Gen Data Demands: Real-Time Alerting & Complex Data IngestionPublicado: 17/3/2022
-  The Case For Data Catalogs: Are Your Teams On The Same Page?Publicado: 23/2/2022
-  Where Should Data Quality Sit? It Depends.Publicado: 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.
