Organizations are rushing to invest in generative AI and automation, but many are discovering a harsh reality: AI does not fix existing data problems; it amplifies them. Without a rock-solid foundation of data architecture and governance, even the most advanced AI initiatives risk failure due to inconsistent data, fragmented workflows, and low organizational adoption.
This panel explores the critical intersection of data governance, operational maturity, and AI readiness. Our panelists will unpack why AI is only as trustworthy as the data supporting it, and how to build the ecosystems necessary for responsible, scalable innovation.
Dia Adams
Enterprist AI Strategist, Best-Selling Author
The AI Table
Dia Adams brings two decades of data & AI expertise. Her career highlights include being former Enterprise Data Strategist at the White House, where she led efforts to modernize and standardize federal data management practices, and the best-selling author of “Winning With AI: A Blueprint for Corporate Leaders” an executive guide for managing AI transformation effectively. Currently, she is the presiding Board Chair at the Washington, DC-based think tank The AI Table—which is dedicated to documenting and disseminating responsible AI policies and practices.
Winfried A. Etzel
Data Governance Professional
Winfried Etzel AS
Winfried Adalbert Etzel is a key figure in the Nordic data community, known for his strong contributions to professional forums and his commitment to promoting Data Governance, Data Strategy, and organizational design for data teams.
Winfried has dedicated his career to emphasizing the importance of information and data management, as well as a strategic and holistic approach to treating information and data as a valuable asset for organizations.
Through his work with the #MetaDAMA podcast and his voluntary engagement in the Nordic data community, he has been a driving force for innovation and has helped build a strong data community while promoting professional development across the Nordic region.
Winfried is currently working on his book under the working title «Data Governance in the Wild», where he explores how Data Governance needs to change to adapt to distributed landscapes and the need for AI.
Renuka Gangireddy
Enterprise Data & Integration Architect, AIGP Certified
AAA Life Insurance
With over 16 years of experience in enterprise data architecture, I specialize in designing and implementing scalable, data-driven solutions that enable organizations to maximize the value of their information assets. My expertise spans enterprise data strategy, data governance, modern data platforms, and architecture transformation across complex business environments.
As an AIGP (Artificial Intelligence Governance Professional) certified professional through the IAPP, I am passionate about advancing responsible and trustworthy AI. I focus on helping organizations establish governance frameworks that promote transparency, accountability, privacy, and ethical AI adoption while aligning with business objectives and regulatory expectations.
A frequent advocate for data-driven innovation, I enjoy sharing practical insights on enterprise architecture, AI governance, data management, and the evolving intersection of data, technology, and responsible AI. My goal is to help organizations build resilient data foundations that accelerate innovation while maintaining trust.