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.
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
