Chicago’s top AI and data leaders are coming together for a day of strategy, innovation, and enterprise transformation at the Chicago AI Enterprise Forum on June 22. Join senior executives shaping the future of AI adoption, governance, data strategy, and business impact across the enterprise ecosystem. We’re also excited to spotlight our incredible Co-Chairs helping lead the conversation: • Patrick Chew, MBA, AIT Worldwide Logistics • Ivana Donevska, BMO • Sabrykrishnan Loganathan, Peloton Interactive Expect high-level discussions, meaningful networking, and actionable insights from leaders driving AI at scale across today’s most influential organizations. 📍 Chicago AI Enterprise Forum 🗓 June 22 ⏰ 8 AM – 5 PM EST Register today: https://lnkd.in/eS4gEBgB #AI #EnterpriseAI #DataLeadership #ChiefDataOfficer #GenerativeAI #DataStrategy #ArtificialIntelligence #ChicagoTech #CDOMagazine #Leadership #MachineLearning #DataAndAnalytics
CDO Magazine
Book and Periodical Publishing
Giving a voice to global leaders in strategic data management and analytics capabilities
About us
CDO Magazine grew out of MIT’s annual CDO and Information Quality Symposium (MIT CDOIQ), led since 2007 by the MIT Sloan School of Management, in partnership with the International Society of Chief Data Officers (isCDO) and ComSpark. Our vision and mission are to be the premier global print and digital publication, giving a voice to global leaders in strategic data management and analytics capabilities that form the foundation and core of the digital age. The publication delivers C-suite-worthy format and content quality — the insights essential to accelerating organizational adoption of the enterprise disciplines necessary to be successful in the new digital society. Our passion is to be a catalyst where global data and analytics leaders can experience a deeper sense of community by creating a platform where the best ideas, innovations, companies, and leaders are celebrated.
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https://www.cdomagazine.tech
External link for CDO Magazine
- Industry
- Book and Periodical Publishing
- Company size
- 11-50 employees
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- Privately Held
Employees at CDO Magazine
Updates
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Most AI governance programs distribute responsibility. Very few assign true accountability. In this new article, Rehan Kausar, Chief AI Officer at AI Advantages, argues that committees coordinate AI governance — they do not own it. He breaks down why regulated enterprises fail governance examinations when no single, named individual is accountable for an AI system across its lifecycle, from approval to decommissioning. Key insights include: • Why “responsibility” is not the same as accountability • The governance gaps exposed during regulatory examinations • How AI governance roles should shift across the AI lifecycle • Why executive authority matters more than governance councils • The “named owner test” every enterprise should apply today A sharp and highly practical read for CAIOs, CDOs, CROs, risk leaders, and enterprise AI governance teams navigating regulated AI at scale. ➡️ Read now: https://hubs.ly/Q04jltYY0
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Ahold Delhaize USA Welcomes Vipin Gopal as SVP, Chief Data and AI Officer 🔗Read more about it here: https://hubs.ly/Q04jlHHL0
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Most organizations believe they control their data. 🚩 Until they need to migrate platforms. 🚩 Until AI vendors change policies. 🚩 Until jurisdiction, dependency, or operational disruptions expose how little autonomy they actually have. In this article, Bergson Lopes Rêgo, VP of the DAMA Brazil chapter, argues that data sovereignty is no longer just a compliance or infrastructure discussion. It is becoming a strategic business issue tied directly to autonomy, vendor dependency, reversibility, and long-term enterprise resilience. A timely read for CDOs, CIOs, CDAIOs, and executive leaders navigating AI-era data strategy. ➡️ Read now: https://hubs.ly/Q04jdswp0
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AI is exposing a major flaw in how many organizations approach data governance. In this new article, Jenna Zhou, Distinguished Engineer at Dell Technologies, explains why traditional data governance maturity models often create the *appearance* of progress while masking operational risk, slowing AI readiness, and weakening governance credibility. Key themes: • Why perception-based scoring misrepresents real governance capability • How maturity models can delay action and create false executive confidence • Why governance must shift from static frameworks to measurable operational outcomes • The growing gap between “governance maturity” and actual AI readiness A timely perspective for CDOs, CAIOs, and enterprise data leaders navigating governance at AI scale. ➡️ Read: https://hubs.ly/Q04jcsY80
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🔴 WE ARE LIVE! The discussion is happening right now: "AI is Increasing Demand: Can Your Access Model Respond in Near Real Time?" If you haven't joined yet, there is still time to log on and listen to our expert panel discuss how to move past legacy RBAC and manual tickets to achieve machine-speed provisioning for enterprise AI. Our panel is on stage now: Kiran Kanetkar, GenAI Executive Insights at Cencora Della Shea, Head of Enterprise Risk at Interac Corp. Rajesh Arora, VP, CDAO at Principal Financial Group Moderated by: Paul Myres, Field CTO at Immuta 📅 Happening Now: Thursday, May 28, 2026 🕚 Time: 11:00 AM ET Don't miss the live insights or the interactive Q&A at the end. Click the link to jump directly into the session! 👉 Join the Live Webinar Now: https://hubs.ly/Q04jcfl70 #CDOMagazine #DataLeadership #AIStrategy #CyberSecurity #CDO #GenerativeAI #LiveWebinar
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AI governance cannot succeed without strong data governance. Robin Gordon, Chief Data Officer at Hippo Insurance, explains why many organizations remain stuck in AI pilots despite investing heavily in governance frameworks, catalogs, and policies. 🔎 Key insight: AI systems do not consume governance documents. They consume data. And if that data lacks context, consistency, lineage, and business meaning, AI simply scales ambiguity. Robin explores: • Why traditional governance creates the illusion of AI readiness • How poor governance limits advanced AI interoperability • Why semantic metadata and context must become engineering priorities • What organizations need to change to operationalize trustworthy AI at scale Read the full article: https://hubs.ly/Q04jb3Yf0
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Andres Vives, Visa CDO, Joins CDO Magazine Global Board 🔗Read the announcement here: https://hubs.ly/Q04j9bW40
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AI transformation is no longer just about tools. It’s about workforce fluency, measurable impact, and business adoption. Jeff Goldman, VP, Enterprise Data Science at Procter & Gamble, discusses building AI fluency at scale, prioritizing AI initiatives, and measuring enterprise impact. Key insights include: • Why P&G invested in AI upskilling long before generative AI • How ChatPG, ImagePG, AskPG, and InsightsPG support enterprise adoption • Why measurement is one of the biggest barriers to scaling AI • What P&G learned from a 750-person AI collaboration experiment with Harvard Business School • Why teams working with AI produced the strongest ideas In conversation with Donna Medeiros of Data Society Group. ➡️ Read the interview now: https://hubs.ly/Q04j99z20
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Data, AI & Analytics leadership expectations are evolving fast. Benchmark your compensation, executive scope, AI ownership, and organizational influence against the evolving enterprise market. 👉 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 𝗦𝘂𝗿𝘃𝗲𝘆: https://lnkd.in/g2sG3AsJ CDO Magazine + Burtch Works The first benchmarking initiative focused specifically on Data, AI & Analytics executive leadership. ✔ Confidential ✔ Aggregate Results Only ✔ Early Access to Insights #AILeadership #DataLeadership #AnalyticsLeadership #EnterpriseAI #ChiefDataOfficer
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