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.
Vijay Morampudi, SVP and AI CoE Leader at Marsh, explained how codifying tacit knowledge and applying the 'irreversibility rule' transformed his team's approach to scaling enterprise AI agents.
Christophe Theys, Global Head of AI, Data and Analytics, discussed the importance of building a centralized data and AI team, AI’s biggest risks, and getting buy-in from the workforce.
CIOs and CAIOs don't need to compete. A two-zone architecture lets AI teams move fast while keeping enterprise systems governed and secure.
Shawn Harrs, Ph.D., CIO at GuidePoint Security, outlined why AI literacy and database-level governance through MCP are prerequisites for scaling enterprise AI agents.
Gary Meyer, Strategic Markets Executive at Cognizant's TriZetto Healthcare Products, on why durable AI advantage depends on moving intelligence upstream.
George Korizis, Partner at PwC, on why scaling AI is an organizational discipline problem and what leaders must do to move from pilot purgatory to production.
Wells Fargo's Bijit Ghosh on why the architecture decisions CIOs make now will determine which AI programs hold up at scale
Deven Verma, Director of Technology Strategy at Deloitte, on how governance, defensibility, and measurable ROI define the new CIO accountability mandate in the age of operational AI.
Johnny Franco-Arboine, a Senior Agile Project Manager at Amtrak, on the intricacies of scaling through automation, and how IT leaders can leverage disciplined systems to unlock next-gen AIOps.
Bagirathi Narayanan, technology executive in the Office of the CIO at HP, on why architectural readiness, not data readiness, determines whether enterprise AI scales or stalls.
Carol Hall, Founder of Hall CIO Consulting, on why the modern CIO must shift from a gatekeeper role to one of architecting safe velocity that matches their company's appetite for risk-reward balance.
Milen Mahadevan discussed with CIO News tapping into Kroger’s data treasure trove, moving beyond AI pilots, and why people are the centerpiece to any successful AI strategy.
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