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.
Theodore Paradise, Chief Policy and Grid Strategy Officer at CTC Global, on how grid infrastructure has become the defining constraint in the global AI race.
Ravi Evani, GVP and CTO at Publicis Sapient, on why AI-assisted development is restructuring enterprise engineering from pod design to performance measurement.
Pranav Kumar, Sr. Director of Digital, Data, & AI at Capgemini, on how CIOs can build a trust layer to govern AI agents, ensure brand safety, and drive measurable outcomes.
Traditional management frameworks collapse under AI. Sergey Sergeyev, Camping World's VP of Enterprise Architecture, on why leaders must rethink metrics and governance.
Hardi Gokani, Director of Product Management for AI/ML at Grainger, on why AI transformation stalls when organizations skip the organizational redesign.
Nick Giannakakis, Group CIO at Motor Oil, explained how infrastructure, trust, and organizational change unlock real value from industrial AI.
Matt Hobbs, US and Global Head of Cloud, Engineering, Data, and AI at PwC, on why the companies winning at AI have stopped waiting for ideal foundations and are building and modernizing in parallel.
Cisco VP Jason Andrews shares his playbook for driving 50% efficiency gains with automation and how he's preparing for the next wave of AI-native systems to unlock even greater business impact.
Dominique Luzeaux, Special Advisor to the Supreme Allied Commander Transformation at NATO, on how AI supports time-critical military decisions without removing human control.
As AI shifts from pilots to orchestration, Nithin Ramachandran, Global VP of Data Analytics and AI at 3M, outlined why scale depends on discipline, coordination, and hard choices.
CIOs face a critical opportunity to lead their AI strategy. To lead effectively, they must get hands-on by building and experimenting themselves, not delegating crucial learnings.
As agentic AI moves into execution, Cisco VP Jason Andrews outlined why process standardization has become the real infrastructure behind scalable, trustworthy automation.
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