Stop being the bottleneck. Start being the partner. Fuel your AI initiatives with trusted data at scale. - March 18, 2026 | 2 PM EST
As business data volumes explode, workloads move to the cloud, and AI expectations move from "experiment" to "requirement," enterprises require data trust at scale to fuel analytics, data products, and AI readiness.
Achieving real data trust requires a shift in strategy. By pushing data ownership to the business users who know the data best, centralized Data/IT teams can stop being bottlenecks and start being strategic partners. Further, building a resilient data supply chain means that organizations must combine the "health check" of scaled data quality with the "system pulse" of observability to ensure data is available, accurate, and fit for purpose, at rest and in motion. Getting this right results in a data trust layer in the modern AI stack, sitting between your data sources and cloud lakehouses and agentic applications.
Join Andrew Foster, Chief Data Officer, M&T Bank, along with Jay Limburn, Chief Product Officer, Ataccama for actionable best practices to help you navigate:
Offered Free by: CDO Magazine
See All Resources from: CDO Magazine





