Celebrating the 20th Annual CDOIQ Symposium! | |
Celebrate 20 years of leadership and innovation at the CDOIQ Symposium! More than 500 delegates have already registered for this milestone event on July 21–23, 2026, in Cambridge, MA, where global leaders in data, analytics, and AI will explore the future of enterprise AI and data leadership. As part of our 20th Anniversary celebration, take advantage of these exclusive offers:
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Special onsite registration discount, email team@cdoiq.org.
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Use the code Virtual80% for 80% off virtual registration
| | Join the ADQ Certificate Program on July 20, 2026 | | Thank you to all who joined our inaugural April 2026 Agentic Data Quality (ADQ) Certificate Program. We’re proud to have successfully launched this first session, with your enthusiastic engagement and meaningful participation from start to finish. We’re excited to continue growing this program and supporting your journey. | | |
As Agentic AI continues to transform the data landscape, the focus on data quality is evolving beyond governing inputs to ensuring the integrity, reliability, and governance of AI-generated outputs. The Agentic Data Quality (ADQ) Certificate Program equips leaders with practical insights into Generative AI, AI agents, and real-world implementation strategies, empowering organizations to confidently navigate the next era of data and AI innovation.
Join the ADQ Certificate Program on July 20, available both onsite and virtually. Register now and use code:
- SpecialADQOS50% for 50% off onsite expires on May 31st
- SpecialADQV50% for 50% off virtual expires on June 15th
| | Highlight 2026 Symposium Speakers, Part IX | | 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. | | |
Intelligent Data Operations: AI Agents for Anomaly Triage in Regulated Industries
Tejas Shinge, Comerica Bank
Data teams in regulated industries spend hours every week answering one question: why did this number move? In this session, I'll walk through how I built and deployed a production AI agent system that compressed time-to-hypothesis by ~50%. We'll cover the semantic-layer foundation, the three-agent architecture, the eval-first discipline against a 150-incident gold set, the staged rollout from shadow mode to routed action, and how we governed the system under model-risk frameworks. Agents detect and triage. Humans decide. That's what makes it defensible.
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AI Data Governance for the Enterprise - Using Data Governance & Risk Management to protect your Data
Moderator: Lindy Kresl,Technologia
Panelists: Melvina Sparks, EmbraceIT AI; Nate Rain, Informatica by Salesforce; Patty Haines, Data Governance Advisor
As artificial intelligence becomes embedded across enterprise operations,the risks associated with poorly governed data grow exponentially. This expert panel discussion explores how AI Data Governance serves as a critical risk management discipline—protecting data integrity, ensuring regulatory compliance, and preserving trust in AI-driven decisions. Panelists will examine how traditional data governance frameworks must evolve to address AI-specific risks such as bias, explainability, data lineage, model accountability, and operational misuse. Through real-world enterprise examples, the discussion will highlight practical strategies for aligning data governance, risk management, and AI innovation—enabling organizations to responsibly scale AI while safeguarding their most valuable asset: data.
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Why Strong Data Management Beats a New Platform, Every Time
Moderator: Caroline Serio
Panelists: Doug Kanouff, Kevin Eichas, Brendan Sullivan, Kevin Hunter, KeyBank
Banks rarely struggle because they lack data platforms. They struggle because data management foundations evolve unevenly - governance is fragmented, ownership is unclear, quality expectations vary, literacy is inconsistent, and the data supply chain is asked to execute without clear rules. Over the last three years, KeyBank has built an enterprise data management foundation with clearer governance, measurable data quality standards, stronger data literacy, defined data product ownership, and a scalable data supply chain. It is a strong base—and one we continue to strengthen and scale. This 45-minute session takes the form of an executive interview led by Caroline Serio, Head of Enterprise Data Governance and Enablement, who will speak with the leaders responsible for shaping and executing the strategy. A key differentiator was early buy-in across the business, risk, and enterprise teams. The team has consistently focused on the people side of change, recognizing that adoption, trust, and sustained execution depend on how leaders align the organization through each decision.
| | Thank You 2026 CDOIQ Sponsors | We extend our gratitude to our distinguished sponsors who have already confirmed their support for the 2026 CDOIQ Symposium. Their commitment drives thought leadership, innovation, and collaboration across the global data community—bringing together industry leaders, practitioners, and innovators to shape the future of data, AI, and analytics. | | Secure Your Spot as a Sponsor | |
Momentum is building for the 2026 CDOIQ Symposium, the world’s longest-running conference for data and AI leadership. With more than 500 leaders already registered, the Symposium brings together executives and innovators driving the future of Data + AI.
Sponsorship opportunities include speaking engagements, complimentary registrations, and strong visibility across the CDOIQ community—providing a valuable platform to showcase your brand and connect with senior Data + AI decision-makers.
Secure your sponsorship today and join the leaders shaping the future of Data + AI.
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