CDOIQ Newsletter, October 2026 • Volume II

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Unlock Your Potential with the CDOIQ Academy

The CDOIQ Academy is gaining momentum! With our first course beginning in just 9 days, now is the time to invest in your professional growth. Explore our expanded curriculum, learn from distinguished industry experts, and build the knowledge and skills to lead in today’s evolving Data and AI landscape.


Explore are upcoming courses:

CDOIQ‑101 | Begins October 29, 2026 | Led by Dr. Richard Wang & Robert Abate

CDOIQ‑102 | Begins January 5, 2027 | Led by Dr. Mark Ramsey

CDOIQ‑103 | Begins January 28, 2027 | Led by Dr. John Talburt & Danette McGilvray

CDOIQ‑201 | Begins January 5, 2027 | Led by Prof. Michael Stonebraker - A.M. Turing Award Laureate



Ready to take the next step? Schedule a briefing to learn more about the program and find the right course for you.


Visit certified-cdo.org to explore the CDOIQ Academy curriculum and learn more about our offerings.

CDOIQ-101: Journey to CDOIQ

by Dr. Richard Wang & Robert Abate

October 29 - December 3, 2026

Thursdays, 4:30 PM - 7 PM ET



Journey to CDOIQ is an executive-focused course designed to translate the principles of Chief Data Officer leadership into practical action. The course moves beyond data strategy frameworks to examine how CDOs establish credibility, mobilize organizations, govern data and AI, deliver measurable business value, and lead enterprise-wide transformation. Participants will explore real-world CDO challenges and decision points, including aligning data strategy with organizational priorities, building effective data organizations, influencing executive stakeholders, managing data governance, accelerating analytics and AI adoption, and demonstrating business outcomes. 

CDOIQ-102: Data Strategy by Dr. Mark Ramsey

January 5 - February 2, 2027

Tuesdays, 4:30 PM - 7 PM ET


Data strategy forms the foundation upon which effective data management rests. In this module, participants delve into the intricacies of aligning data initiatives with organizational goals, identifying opportunities for data-driven transformation, and formulating a clear roadmap to harness data's potential.

CDOIQ-103: Data Quality Management in Practice

by Dr. John Talburt & Danette McGilvray

January 28 - February 25, 2027

Thursdays, 4:30 PM - 7 PM ET


This course includes 5 sessions. Sessions 1-2, taught by John Talburt, cover the history and development of DQM methodologies, the ISO 8000 DQM reference model, the role of data governance, and a data quality (DQ) case study. Sessions 3-5, taught by Danette McGilvray, cover the methodology Ten Steps to Quality Data and Trusted Information™ (outlined in the book Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ 2nd Ed. (Elsevier/Academic Press) by Danette McGilvray. This methodology provides a practical approach to creating, improving, and sustaining the quality of data critical to any organization’s success.

CDOIQ-201: The Technical CDO: Enterprise Data Architecture, Integration and Agentic AI

by Prof. Michael Stonebraker

A.M. Turing Award Laureate

January 5 - February 2, 2027 

Tuesdays, 4:30 PM - 7 PM ET


This course equips Chief Data Officers and data leaders with the technical knowledge needed to navigate modern enterprise data environments. Topics include enterprise data architecture, databases, data lakes and warehouses, data dictionaries, vendor lock-in, application technical debt, data silos, and information retrieval. Participants will explore practical strategies for integrating incompatible data, using LLMs and traditional machine learning, applying text-to-SQL, and leveraging agentic AI. The course emphasizes scalable architectures, effective data integration, and the evolving technical responsibilities of the CDO.

Previous CDOIQ Newsletters

2026 Newsletters | 2025 Newsletters

2024 Newsletters | 2023 Newsletters

The 21st CDOIQ Symposium is held in collaboration with

MIT Industrial Liaison Program, MIT Horizon,

MIT Sloan CIO Symposium, Citizant, UCSD SPARK AI,

and The Data Governance Institute


contact us: team@cdoiq.org; https://2027cdoiq.org/

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