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.
Ramachandran S, fractional CTO and Gridzy AI board member, explained why skipping the readiness audit is what most enterprise AI failures have in common.
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.
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
