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The article focuses on the strategic shift from AI experimentation to execution, emphasizing that measurable value requires deep workflow redesign, talent upskilling, and robust governance rather than mere tool distribution. It highlights a significant maturity gap between leaders who invest in operational discipline and those relying solely on broad tool access without training. This analysis is critical for understanding how organizations can transition from scattered pilots to scalable, responsible AI integration.
Surse care acoperăFortune, InfoQ, SiliconANGLE
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Fortune’s AIQ Summit: The conversation has moved from experimentation to execution

Fortune10 min de cititArticolul și perspectiva sunt în engleză.

The strongest companies aren’t simply distributing AI tools but redesigning workflows, developing talent, strengthening governance, and building discipline.

As companies race to adopt generative AI, agents, and new data tools, leaders face a more demanding question than whether to use the technology: How can they turn it into measurable value without creating new costs, risks, and organizational confusion? At Fortune’s AIQ Summit at the New York Stock Exchange, executives from the technology, finance, industrial operations, travel, and human resources sectors explored what separates meaningful AI transformation from scattered pilots. The discussion made clear that the strongest companies are not simply distributing AI tools. They are redesigning workflows, developing talent, strengthening governance, and building the data and operating discipline needed to scale responsibly. THE MOST IMPORTANT AI QUESTION IS NOT WHETHER A COMPANY HAS DEPLOYED TOOLS, BUT WHETHER IT HAS CHANGED HOW WORK GETS DONE. Speakers warned that widespread access to AI does not necessarily create productivity, business value, or organizational maturity. Diana David, Director of Futures at ServiceNow, said leading companies distinguish themselves through their commitment to people and operational discipline, not technology alone. In ServiceNow’s Enterprise AI Maturity Index, 57% of “pacesetters” invest in ongoing AI upskilling, compared with 4% of other organizations. The widest gap involves attracting, hiring,…

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