Organizations are under pressure to modernize legacy data estates while reducing risk, cost, and delivery timelines. Learn how the Kyndryl Agentic Framework (KAF) provides a repeatable and scalable approach for accelerating data modernization initiatives, including business case development, TCO analysis, data warehouse migration, ETL modernization, and reporting transformation to cloud-native data platforms.

By leveraging AI-powered accelerators across assessment, dependency analysis, code conversion, testing, optimization, and governance, KAF automates key migration activities and improves consistency throughout the modernization lifecycle. This session demonstrates the framework, delivery methodology, governance model, and agentic accelerators that enable organizations to accelerate migration outcomes, reduce technical debt, lower delivery risk, and establish a future-ready foundation for analytics, data-driven decision making, and AI innovation.