Migration or Modernization for AI-Ready Data: Choosing the Right Path
Webinar Speaker: Donald Farmer, Research Fellow
Date: Tuesday, October 13, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
Enterprises face mounting pressure to make their data estates AI-ready, yet few have a robust foundation. Most organizations operate a patchwork of legacy and modern tools, from ETL pipelines and data quality processes to master data and data marketplaces.
Data leaders face a clear choice: opt for a "lift and shift" migration or re-architect assets for a robust, AI-ready foundation. Applying a one-size-fits-all strategy often leads to costly errors, such as migrating systems that should have been modernized or patching those that needed replacement. Success requires assessing each capability individually and shifting your design strategy to serve both human users and AI agents.
Join TDWI research fellow Donald Farmer and experts from Salesforce, Informatica, and Accenture to master a structured modernization framework.
You will leave with actionable takeaways:
- The Modernization Matrix: A practical assessment test to decide whether to lift and shift, refactor, or rearchitect specific data capabilities.
- AI-Readiness as a Capability: Why successful integration is a strategic design shift rather than just a technology purchase.
- Human + AI Design: How to reorient your enterprise data strategy to serve both human users and AI agents effectively.
Guest Speakers
Paul A. Barrett
Managing Director
Accenture
Paul A. Barrett is a data and AI leader at Accenture, focused on helping enterprises modernize how they manage, govern, and create value from data in the age of AI. His work spans enterprise data platforms, data products, governance, cloud modernization, and the emerging role of AI and agents in transforming how organizations build and consume data.
Paul brings a distinctive perspective shaped by experience across consulting, technology, and digital innovation. Prior to Accenture, he held roles at Teradata, Verizon, and Creative Convergence, giving him experience on multiple sides of large-scale technology transformation—from the platforms themselves to the enterprises adopting them.
At Accenture, Paul works with technology leaders to move beyond traditional data modernization toward AI-ready data foundations and operating models. He is particularly focused on the intersection of modern data platforms, trusted and reusable data products, automated governance, and agentic AI—and on the practical changes enterprises must make to turn these technologies into measurable business value.
Amar Srivastava
Community of Practice Director
Informatica
Amar Srivastava is community of practice director at Informatica, leading a global practice of 180+ professionals shaping how enterprises operationalize data foundations, AI/GenAI, and enterprise architecture to unlock scalable business transformation. He focuses on aligning technical strategy, solution engineering, and go-to-market execution to help organizations turn complex digital investments into measurable outcomes.