Expert Panel: Data Observability and Reliability at Scale (Sept. 28th)
Monday, September 28th, 2026: 12:00 PM to 1:00 PM
Join TDWI's Research Fellow, Donald Farmer, together with industry experts as they discuss how organizations are building data observability and reliability across modern data ecosystems and the practices that support trusted data for AI and analytics.
Virtual
Organizations are relying on data more than ever to power analytics, AI, and agents. However, as data environments become increasingly distributed and complex, maintaining trusted, reliable, and continuously available data has become a significant challenge.
TDWI research consistently finds that data quality remains one of the top obstacles to successful AI and analytics initiatives. Without confidence in the accuracy, completeness, timeliness, and reliability of data, organizations increase operational risk, reduce trust in AI outputs, and limit their ability to scale data-driven initiatives. The problem has increased with the growing use of unstructured data.
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