Leadership
Strategy, Digital Transformation & Executive Insights for IT Leaders
Eli Potter argues enterprise AI needs its own checks and balances, borrowing separation of powers, red-teaming, and federalism from the U.S. Constitution.
AI can do the work. The harder question for CIOs in 2026 is whether it can do it economically. Todd Mazza on token costs, AI FinOps, and the case for a "token P&L."
Talking to the CFO about AI takes two answers, not one. Motti Finkelstein on separating AI value from cost, and the vocabulary that keeps programs funded.
Jeff Brzycki, former CIO at Autodesk and VeriSign, on why the integration and control layer that IT has long owned by default is becoming the strategic foundation of the agentic enterprise.
Christoph Wargitsch, CEO of Wargitsch Transformation Engineers, on why the boundaries between business and IT exist on paper but collapse in practice.
Raman Mehta, SVP and CIO at Johnson Electric, on his Enterprise Grade Intelligence framework for building explainable AI.
Alex Destino, a managing director at Digital Optimus, explained how to lead human-AI teams with a new orchestration model focused on outcomes, not activities.
Dinand Tinholt, Global Lead at Capgemini, on how leaders can embrace decision intelligence to escape automated dysfunction and create real business value.
Chris Campbell, CIO at DeVry University, explained why AI succeeds only when organizations fix internal misalignment and data clarity first.
Brian Voss, VP and CIO at Clemson University, explained why universities must fix their IT 'plumbing' before they can embrace strategic challenges like AI.
Ken Knapton, CIO at WIN Brands, discussed why conflict and uncertainty are unavoidable parts of the job, and how his "disagree and commit" framework can help.
Yum! Brands' Chief Data Officer Cameron Davies explains how the company's proprietary AI platform, "Byte by Yum!", is driving sales growth.
Jonathan Fozard, Chief Information Officer at Florida State University, explains why the rise of generative AI is creating a strategic dilemma for CIOs.
Hardi Gokani, Dir. of Product Management for AI/ML at Grainger, advises leaders to adopt an "outcome first" approach to enterprise AI integration.
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