Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders
Former JSX CIO, Craig Airitam, on why durable enterprise AI value lives in the guardrails, observability, and contracts around the model rather than in the model itself.
Pawanjit Singh, CIO of Centria Autism, on why AI use cases reach production only when they answer to a business value driver, and why every new agent starts its career as a closely supervised intern.
Khwaja Shaik, CTO, Industry Market at IBM, Board Director (MOSH), on why a risk-based intake framework, cross-functional governance committee, and board-level oversight give enterprises the structure to scale AI without slowing down.
Krishnamurthy Rajesh, CIO of Digital Transformation and AI Strategy at Vinmegham, on why "on the loop" supervision gives enterprises both the efficiency gains and the accountability structure that "in the loop" oversight can't deliver simultaneously.
Aaron Rallo, Co-Founder and CEO of Trovia, on why the last stretch of an AI project is the hardest and what it takes to clear security review.
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.
Ramachandran S, fractional CTO and Gridzy AI board member, explained why skipping the readiness audit is what most enterprise AI failures have in common.
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