Data Observability’s Role in Enterprise Data Quality and AI Readiness - Futurum Tech Webcast
In this episode of the Futurum Tech Webcast, host Steven Dickens speaks with IBM’s Ryan Yackel, GTM PM and Growth Leader, IBM Databand, about the evolving landscape of data management and AI. They discuss the recent acquisition of Databand by IBM, highlighting Databand's role in data observability within the modern data stack. Yackel explains how data observability is becoming increasingly important due to the challenges faced by data engineering teams and the proliferation of diverse tool stacks. He also delves into how data observability complements data governance, emphasizing its role in improving detection, resolution times, and data SLAs. Their discussion covers: IBM's acquisition of Databand and its integration into IBM's data fabric team That data observability is identified as a critical trend due to the increasing demands on data engineering teams and the complexity of tool stacks How data observability enhances data governance, reliability, and quality within organizational data strategies The intersection of data management practices with AI deployment, emphasizing the importance of quality and governance in AI strategies To learn more, and to download The Futurum Group’s white paper done in partnership with IBM, visit the company’s website.