In this interview from theCUBE + NYSE Wired: Dell Technologies Symposium, John Roese, global chief technology officer and chief AI officer at Dell Technologies, joins theCUBE + NYSE Wired's Dave Vellante to discuss why enterprise AI adoption demands a fundamental rethink of the operating model itself. Roese explains that applying AI without changing how work gets done simply automates old habits, while Dell's own transformation followed a people, process and technology path toward simplification and modernization. He details how proprietary "skills files," built from subject matter experts' knowledge, become a company's AI alpha, differentiating generic models with the biases and context unique to the enterprise.
The conversation also explores how Dell is breaking down organizational silos through a Platform Enablement Team that unites engineering, security and finance under one mandate to move fast. Roese highlights the growing role of the CFO in governing AI economics, and reframes alignment as an enterprise-specific discipline enforced through tool authentication, least-privilege access and zero trust architecture rather than a one-size-fits-all consumer safeguard. He also touches on the uneven but accelerating pace of sovereign AI adoption worldwide, from Japan's embrace of robotics to the Middle East's progressive national strategies. From treating AI risk as a solvable engineering problem to building greenfield AI factories with zero trust fully implemented, Roese outlines a practical path for enterprises to turn AI governance into a lasting competitive advantage.
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John Roese, Dell Technologies
In this interview from theCUBE + NYSE Wired: Dell Technologies Symposium, John Roese, global chief technology officer and chief AI officer at Dell Technologies, joins theCUBE + NYSE Wired's Dave Vellante to discuss why enterprise AI adoption demands a fundamental rethink of the operating model itself. Roese explains that applying AI without changing how work gets done simply automates old habits, while Dell's own transformation followed a people, process and technology path toward simplification and modernization. He details how proprietary "skills files," built from subject matter experts' knowledge, become a company's AI alpha, differentiating generic models with the biases and context unique to the enterprise.
The conversation also explores how Dell is breaking down organizational silos through a Platform Enablement Team that unites engineering, security and finance under one mandate to move fast. Roese highlights the growing role of the CFO in governing AI economics, and reframes alignment as an enterprise-specific discipline enforced through tool authentication, least-privilege access and zero trust architecture rather than a one-size-fits-all consumer safeguard. He also touches on the uneven but accelerating pace of sovereign AI adoption worldwide, from Japan's embrace of robotics to the Middle East's progressive national strategies. From treating AI risk as a solvable engineering problem to building greenfield AI factories with zero trust fully implemented, Roese outlines a practical path for enterprises to turn AI governance into a lasting competitive advantage.
In this interview from theCUBE + NYSE Wired: Dell Technologies Symposium, John Roese, global chief technology officer and chief AI officer at Dell Technologies, joins theCUBE + NYSE Wired's Dave Vellante to discuss why enterprise AI adoption demands a fundamental rethink of the operating model itself. Roese explains that applying AI without changing how work gets done simply automates old habits, while Dell's own transformation followed a people, process and technology path toward simplification and modernization. He details how proprietary "skills files," bu...Read more
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What happens if an organization adopts AI technology without changing its operating model, and how should it approach AI adoption instead?add
Who within an organization is responsible for driving company-wide change (such as AI adoption), and what role does the CFO play?add
Is AI forcing organizational silos (e.g., engineering, security, finance) to come together, and how should leaders structure teams to enable fast, cross‑functional work?add
How does AI alignment differ between the consumer and enterprise markets, and how can enterprises ensure their agents act securely and in accordance with company policies?add
