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20th Annual CDOIQ Symposium:
Agenda Preview & Anniversary Discounts
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We are pleased to announce the launch of askCDOIQ, a nonprofit GPT initiative that promotes knowledge sharing and professional development within the global data and information management community.
If you are interested in collaborating to expand the impact of askCDOIQ, please contact Dr. Richard Wang at team@cdoiq.org.
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50% off for the ADQ Certificate Program
on July 20, 2026
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Join the Agentic Data Quality Certificate Program—available onsite and virtually—and be part of this growing movement shaping the future of data quality.
Use code JulyADQOS50% for 50% off onsite registrations and JulyADQV50% for 50% off virtual registrations, valid through Wednesday, July 8th.
| | Highlight 2026 Symposium Speakers, Part X | | At the CDOIQ Symposium, we curate sessions led by world-class experts in Data + AI strategy, governance, architecture, and enterprise implementation. Bringing together perspectives from industry, academia, and government, the agenda is designed to deliver practical insights and actionable strategies for today’s evolving data and AI landscape. | | |
Adopting Metadata-First: The New Data Operating System
Larry Shiller, Shiller & Company
Many organizations regard metadata solely as documentation, which misses out on its superpower. Properly treated, metadata is a disruptive, first-class citizen that serves as the control plane for every data product, policy, and model in your organization. You’ll learn why metadata-first is the new operating system for data-driven enterprises, and why “non-contentful code” is the new north star. See how leading CDOs use metadata to automate governance, accelerate self-service, scale data products and deliver audit-ready, policy-enforced, explainable AI.
Ignore this shift, and your data and AI will scale mistakes faster than it scales value.
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Beyond Data-Driven: Why the Future Belongs to the Data Inspired
Sebastian Wernicke, Oxera Consulting
After a decade of building data lakes, hiring scientists, and democratizing dashboards, most organizations find themselves somewhat "data-frustrated"—excellent at optimizing the status quo, but failing to truly transform their business.
Sebastian Wernicke argues that the barrier isn't technical, but cultural. Organizations must evolve from a data-driven mindset (using data primarily as a scorecard) to a data-inspired state of constant reinvention. Drawing on his new book, Data Inspired, this session reveals how to break the cycle of incrementalism. Attendees will learn how to build a culture where data doesn’t just settle arguments, but challenges core assumptions, fuels bold experiments, and uncovers entirely new business models.
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From Scratch to Scale: A Blueprint for Building an Enterprise AI Organization
Selim Mimaroglu, Fannie Mae
Most AI failures are not technical. They are organizational. In this session, I walk through how to structure AI delivery across five interconnected functions: AI Innovation, AI Product Management, AI Research, AI Deployment, and AI Production. Each has distinct team structures, processes, and failure modes. I share what worked, what didn't, and why. You will leave with a diagnostic framework to identify where your AI pipeline is stalling and concrete steps to restructure for sustained delivery at scale. Based on my book Enterprise AI Productivity: Success Beyond the Hype (Oracle Press/Pearson, 2026).
| | Thank You 2026 CDOIQ Sponsors | We extend our sincere gratitude to our distinguished sponsors who have confirmed their support for the 2026 CDOIQ Symposium. Their commitment helps advance thought leadership, innovation, and collaboration across the global data community, bringing together industry leaders, practitioners, and innovators to help shape the future of data, AI, and analytics. | |
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