Enterprise AI

Persistent AI agents are already in your enterprise. Former Factory Mutual CTO Todd Mazza on the new governance risks and five actions CIOs should take now.

Sandeep Bansal, CIO at A-One Steels India Limited, on why modular systems only deliver ROI when they are governed, integrated, and secured from day one.

Chief Information and Product Officer Prat Vemana on why technology leaders are the backbone of organizations, and turning internal excitement over AI into elevated experiences for customers.

Bharat Saxena, Lead AI Architect at NTT DATA, on why most enterprise AI failures originate in weak retrieval, brittle orchestration, and undefined ownership rather than model performance.

ALM's CTO and CIO Jimi Li on why capturing AI value requires orchestrating outcomes across the full workflow, rather than optimizing tasks in isolation.

With a career spanning oil and gas, retail, IT infrastructure, and consumer packaged goods, CIO News spoke with Scott about what it takes to morph a heritage retailer into a technology company.

Kris Hagel, CIO at Peninsula School District, on how coding agents made it possible to build an AI platform aligned to his district's own instructional frameworks.

Sam Ferrise, CTO at Trinetix, explained why AI productivity gains stall at the organizational level and what leaders must measure, redesign, and instrument to make them stick.

Claude Mythos is a forcing function for enterprise adaptation. Stuart Evans, Ph.D., on why the CIO, the only executive who sees across systems, data, and people, is now the architect of adaptability.

Citi VP Hardik Sanchawat on how centralizing AI governance while giving business units freedom to execute locally closes the trust gap between pilots and production.

Bijit Ghosh, Managing Director of AI/ML Architecture at Wells Fargo, on separating AI's governance layer from its execution layer to keep enterprise workflows auditable and scalable.