待翻译：The Data & AI Leadership Questions That Will Define the Next Stage of Enterprise AI

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--> The Data & AI Leadership Questions That Will Define the Next Stage of Enterprise AI - KDnuggets --> Join Newsletter Sponsored Content Enterprise AI is moving into a very different phase. The conversation is shifting from what AI can do to much harder questions: How do we scale it? How do we govern it? What should we automate? Is our data foundation ready? And who is accountable when AI starts making decisions on its own? These are the questions at the heart of CDAO Fall, co-located with CAIO Fall, taking place October 26–27 at the Renaissance Boston Seaport District. The event brings together senior data, analytics, and AI leaders from organizations including Honeywell Aerospace Technologies, United States Air Force, NYC Health + Hospitals, Johnson & Johnson, Capital One, Comcast, Mass General Brigham Healthcare, Prudential Financial, Travelers, Walmart, Citi, New York Life, The Cigna Group, TE Connectivity, MetLife, and more. Here are some of the conversations shaping the agenda. From AI Pilots to Production Most organizations have experimented with AI. Far fewer have figured out how to consistently turn those experiments into measurable business outcomes. Ash Dhupar, Chief AI & Data Officer at Honeywell Aerospace Technologies, will examine what separates organizations successfully moving AI into production from those stuck in the "pilot graveyard." The conversation continues throughout the program with sessions including "From Strategy Deck to Business Reality: What It Actually Takes to Scale Data and AI Across an Enterprise" and "AI: What's Next? Hype Cycle to Hard Reality," which explores the growing importance of prioritization, cost discipline, and knowing which AI initiatives to stop. The underlying question is becoming increasingly important for data leaders: How do you turn AI ambition into operational reality? The Data Foundation Still Matters The excitement around generative and agentic AI hasn't eliminated one of the oldest problems in enterprise technology: getting the underlying data right. In "Dirty Data, Broken Promises: The Unglamorous Work That Makes AI Actually Function," leaders from Johnson & Johnson, Dakota, Omnicom Media, and Sensata will examine the data quality, engineering, ownership, and infrastructure investments that determine whether AI systems are useful—or dangerous. Manajit Barman, Chief Data Officer at the United States Air Force, will also explore the architectural decisions that could define the next five years in "The Architecture Decision That Will Define Your Next Five Years." And as AI adoption accelerates, integration itself is becoming a strategic capability. "From Data Movement to Data Momentum: Rethinking Integration in an AI-First World" examines what it means to provide AI systems with fresh, clean, contextual data continuously. Agentic AI Changes the Governance Equation The next generation of AI systems won't simply generate recommendations. Increasingly, they will take action. That creates an entirely different governance challenge. "The Agentic Leap: From AI That Advises to AI That Acts" brings together leaders from The Hartford, Walmart Global Tech, and MassMutual to explore autonomous AI, observability, intervention, and the question of when an AI agent deserves the same level of scrutiny as a human making a consequential business decision. The agenda also tackles the human side of this problem in "Human in the Loop Is Not a Strategy: Rethinking Oversight for Systems That Move Faster Than People Do." As organizations deploy systems capable of making thousands of decisions at machine speed, simply having a human somewhere in the process may no longer constitute meaningful oversight. Governance Without Killing Innovation AI governance is becoming less about creating policies and more about designing operating models that allow organizations to move quickly without losing control. At CDAO Fall, Colleen Tartow of Capital One and Chandrakanth Thadkapally of Walmart will discuss how organizations are approaching the growing regulatory landscape in "Regulation Is Coming Whether You're Ready or Not: Building AI Governance That Doesn't Break the Business." Other sessions explore the trust deficit surrounding AI, the role of responsible AI, regulatory complexity, and how data and AI leaders can create governance frameworks that enable responsible speed rather than becoming a bottleneck. The CDAO and CAIO Are Becoming a Leadership Team Perhaps the most important theme running through the co-located event is the growing convergence of data and AI leadership. The two functions may have started as separate roles, but the decisions they now face increasingly overlap. "Two Titles, One Mission: What CDAOs and CAIOs Are Finally Figuring Out About Each Other" brings together Adem Albayrak, Chief Data and AI Officer at Alzheon; Sanjay Sidhwani, Chief Data & Analytics Officer at Valley Bank; and Jillian Landi, Chief AI Officer at Needham Bank to explore what makes the CDAO-CAIO relationship work in practice. Day two continues the conversation with "The New Power Couple: How the CDAO and CAIO Have to Work Together or Watch Everything Fall Apart." The issue isn't simply organizational structure. It's about determining which decisions require data and AI leadership in the room together. And the Conversation Goes Beyond Technology The agenda also addresses some of the less technical—and often more consequential—challenges facing today's data leaders: Building data organizations that survive leadership changes Making the financial case for long-term data investment Developing the next generation of data leadership talent Building trust with employees, customers, and regulators Measuring AI ROI beyond projections Balancing centralized governance with domain autonomy Using self-service analytics to accelerate decision-making Determining what to automate, what to augment, and what to leave alone These aren't theoretical discussions. They're questions being worked through by data and AI leaders across healthcare, financial services, manufacturing, retail, government, insurance, and other industries. Join the Conversation in Boston CDAO Fall + CAIO Fall takes place October 26–27, 2026, at the Renaissance Boston Seaport District. Qualified senior data, analytics, and AI executives and practitioners from end-user organizations can apply for a complimentary VIP pass to attend. The complimentary VIP program is reserved for eligible end users; solution providers, vendors, consultants, and service providers are not eligible. APPLY FOR YOUR COMPLIMENTARY VIP PASS → If you're responsible for turning data and AI strategy into enterprise reality, this is a conversation worth being part of. 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