Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders
Sergey Sergeyev, VP of EA and Chief AI Architect, on why vibe-coded replacements are pulling the foundation out from under the enterprise.
Ashish Kulkarni, Principal Enterprise Architect on how frontier models have converged enough that the sole differentiation in enterprise AI is orchestration, governance, and surrounding data quality.
Wendy Turner-Williams, Chief Data and AI Officer at SymphraAI, on were enterprise AI transformations are stalling on ROI as leaders measure technology deployment instead of the decision quality.
Andy Armstrong, Head of Business and Market Strategy for Credit Analytics at S&P Global, on why risk data must reach the analyst, not just the system, to accelerate credit and supplier decisions.
Jason Andrews, VP of Strategy and Planning for Engineering Operations at Cisco, on why platform migrations work best when teams leave process debt behind.
Ramin Rastin, SVP of Data Engineering & Advanced Data Sciences at GXO Logistics, on turning a unified data foundation into a market-ready AI product.
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.
Most Popular
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As Frontier AI Model Capabilities Converge, Enterprise AI Wins Or Loses At The Orchestration Layer
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AI ROI Stays Elusive When Enterprises Measure Technology Deployment Instead Of Decision Intelligence
