CDOIQ Newsletter, July 2025 vol. III

Pre-order of Post-Symposium Proceedings at 75% Off!

We are very grateful to our sponsors for their generous support in making the Post-Symposium Proceedings possible, which include session presentations and recordings from all three days of CDOIQ 2025.

Pre-orders are now open to all attendees, including onsite, virtual, and global participants. All proceeds will go toward the Staff Appreciation Fund, recognizing the incredible contributions of the CDOIQ team.

Reserve your copy for only $75—a 75% discount off the regular $300 price. Simply use

code CDOIQEarlybird75% at checkout.

2025 CDOIQ Symposium Agenda

The 19th Annual CDOIQ Symposium, taking place on July 15–17, 2025, offers a comprehensive program featuring thought leadership, cutting-edge research, and real-world case studies in data management, analytics, governance, and emerging technologies.

Review the agenda by day to explore keynote sessions, expert panels, and track presentations designed to advance the role of the Chief Data Officer and the broader data community.

Day 1: Tueday, July 15, 2025

Session 1 – Welcome and Opening Remarks: 8:30 am – 9:00 am

Welcome and Opening Remarks

Sessions 2 – Plenary Keynote: 9:00 am – 10:00 am

Plenary Keynote: The Future of the CDO role and Data Leadership

Sessions 3-A – 3-D: 10:15 am – 11:00 am

Session 3-A: From Data to Impact: Scaling AI Innovation through Data Modernization

Session 3-B: AI's Impact on Cybersecurity of Data … and Vice Versa! The AI Arms Race

Session 3-C: Scaling Strategic Impact: Unifying Cloud, Data & AI for Business Value

Session 3-D: AI Reality Check: Transforming Challenges Into Triumphs

Sessions 4-A – 4-D: 11:15 Am – 12:00 pm

Session 4-A: AI-Driven Data Strategy in Pharma: Balancing Innovation, Governance, and Value 

Session 4-B: Data Monetization: Selling Data in Risk-Averse Enterprises

Session 4-C: AI Is Cool, but If Your Data Quality Isn’t, Then What’s the Point?

Session 4-D: Industry Domain Framework: A Blueprint for Trusted, Connected, and AI-Ready Data Products

Sessions 5-A – 5-D: 1:30 pm – 2:15 pm

Session 5-A: Data-Driven Transformation in Digital Payments: Insights from Industry Leaders

Session 5-B: The Master Data Management Journey: Six Lessons Learned from Mizuho

Session 5-C: Navigating the Digital Transformation: From Cloud Migration to Data Driven Business Outcomes and AI Readiness

Session 5-D: Putting Enterprise Data to Work: A CDO's Guide to Accelerating Safe AI 

Sessions 6-A – 6-D: 2:45 pm – 3:30 pm

Session 6-A: What’s Next for Retail Data?

Session 6-B: Microsoft Purview Data Governance in the Age of AI

Session 6-C: Accelerating AI Innovation: Building Trusted Data Foundations with AWS

Session 6-D: Building AI for Data and Data for AI

Sessions 7-A – 7-D: 4:00 pm – 4:45 pm

Session 7-A: The Top 10 Secrets That Every CDO Should Know for Developing and Deploying an Impactful AI Solution

Session 7-B: Dr. Wang Open Session: Ask All You Can

Session 7-C: Empowering the Workforce for Effective AI Use

Session 7-D: Quantum Powered Data Washing Machine for AI-driven Data Quality

Sessions 8-A – 8-D: 5:00 pm – 5:45 pm

Session 8-A: ROI or Bust: Making GenAI Work for the KPIs That Actually Matter

Session 8-B: AI’s hidden price tag: how Data Quality can make or break ROI

Session 8-C: Preparing to Become Chief Data Officer

Session 8-D: Data Quality and Reliability in the Age of AI 

DAY 2: Wednesday, July 16, 2025

Sessions 10-A – 10-D: 8:30 am – 9:15 am

Session 10-A: Lessons from Building a Data Ecosystem that Works Back from the Business

Session 10-B: What AI Needs From Your Data: Lessons From the Front Lines

Session 10-C: How CDOs Must Adapt and Change to Stay Relevant and Have a Business Impact

Session 10-D: Financial Services Meets AI: Implementing Scalable Data Governance in Highly Regulated Industries

Sessions 11-A – 11-D: 9:45 am – 10:30 am

Session 11-A: Financial Industry Panel: Navigating Data and Analytics in a Rapidly Evolving Landscape

Session 11-B: Unlocking Value with Data Products & the Data Value Chain

Session 11-C: From Noise to Value: Unlocking Domain-Specific AI with Unstructured Data

Session 11-D: Rewiring Data Trust: UCB’s Journey with DQLabs

Sessions 12-A – 12-D 11:00 am – 11:45 am

Session 12-A: Data Truths Brought to Life Through Song.

Session 12-B: The Hidden Tax of Inefficient Data Platforms—And How to Eliminate It

Session 12-C: How Bill and ZoomInfo Embedded AI-Based Data Observability Into Their Lakehouse

Session 12-D: Agentic AI and the Future of Data: How to Balance Cost, Performance, and Control

Sessions 13-A – 13-D: 1:15 pm – 2:00 pm

Session 13-A: Key Success Factors for AI Adoption by Corporate Functions

Session 13-B: Fuel GenAI with AI-Ready Data

Session 13-C: Democratizing Data and Technology Development

Session 13-D: How Trust Scores Create Actionable Clarity (in an increasingly uncertain world)

Sessions 14-A – 14-D: 2:30 pm – 3:15 pm

Session 14-A: Creating New Opportunities at Scale: Leveraging Telemetry Data for a Global Device Manufacturer

Session 14-B: A CDO Blueprint for Driving Agentic AI Trust

Session 14-C: It’s not FAIR, it’s IRAF!: An adoption-first approach to data transformations

Session 14-D: How AI Transforms Data Engineering

Sessions 15-A – 15-D: 3:45 pm – 4:30 pm

Session 15-A: Navigating Risk in the AI Era: Building Trust While Scaling Data Innovation

Session 15-B: Dr. Wang Open Session: Ask All You Can

Session 15-C: CDOIQ Going Global – How To Strengthen the CDO Role and Build CDOIQ Communities in the Regions

Session 15-D: Beyond Automation: How Next Generation AI-powered Solutions are Reshaping Business Models

Sessions 16-A – 16-D: 5:00 pm – 5:45 pm

Session 16-A: What Does Successful Data Leadership Look Like?

Session 16-B: The Evolving Role of State Government CDOs in the Age of AI

Session 16-C: AI Frontiers at MIT: Pioneering Research, Real-World Applications, and Collaboration Opportunities

Session 16-D: Scaling AI Across the Enterprise

DAY 3: Thursday, July 17, 2025

Sessions 18-A – 18-D: 8:30 am – 9:15 am

Session 18-A: Operationalizing Generative AI at Gilead with the Gilead Enterprise Data & AI Platform

Session 18-B: Are LLMs Good for Data Mastering?

Session 18-C: University CDO Panel: Why Does a University Need a CDO?

Session 18-D: Data is the New Bullsh*t - GEN AI EDITION!

Sessions 19-A – 19-D: 9:45 am – 10:30 am

Session 19-A: Powering AI, Analytics, and Operations with a Data Quality Framework

Session 19-B: AI Governance for CDOs: Building Trustworthy, Compliant, and Scalable Policies

Session 19-C: Customer Data Readiness in Action: Leveraging a Composable Architecture for AI Success

Session 19-D: Building a Workforce of the Future: Designing Data and AI Literacy Programs for Success

Sessions 20-A – 20-D: 11:00 am – 11:45 am

Session 20-A: Navigating the Real-Time Future: A CDO's Guide to Scalable Impact with Data in Motion & Generative AI

Session 20-B: CDO's Supporting Skills Based Practices: Quality, Interoperability, and Timeliness Driving a Transformed National Talent Infrastructure

Session 20-C: Data in Space - Exploring the Use Case for Data Management and Storage in Space-Based Facilities

Session 20-D: Accelerating Business Value with Analytics Enablement

Sessions 21-A – 21-D: 1:15 pm – 2:00 pm

Session 21-A: How CDOs Reflect on their Practice?

Session 21-B: How Do We Prepare for a Data and AI-Driven Future?

Session 21-C: TBD

Session 21-D: Data Standards Alone Aren’t Enough: The Governance Imperative for Success

Sessions 22-A – 22-D: 2:30 pm – 3:15 pm

Session 22-A: Your Data SLAs Are Wrong - A Fail Safe Way to Fix Them

Session 22-B: From Data to Value: Building Scalable Data Products that Drive Business Impact

Session 22-C: The Power of Data Products: Transforming Data's Impact at a National Distributor

Session 22-D: Unlock $ 100 M+ in Impact: The Blueprint for Scaling AI's True Value

Concluding Plenary Town Hall Session: 3:45 pm – 4:15 pm

Town Hall Meeting

End of the 19^th Annual CDOIQ Symposium

The 19th CDOIQ Symposium is held in collaboration with

MIT Industrial Liaison Program, MIT Horizon, MIT Sloan CIO Symposium, Citizant, and UCSD SPARK AI

https://cdoiq-2025.org/

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