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.
Andrew Ray of Ensemble Health Partners emphasizes redesigning processes over layering technology to address financial and operational pressures.
As enterprises face challenges in adopting AI quickly, Jim Jacob, Executive Director of AI at Cummins recommends prioritizing reliability and customer trust.
Michon Williams, ex-CTO at Walmart Canada, on how enterprises can find value in AI through detailed task management rather than broad automation.
Brian Johnson, Solution Director at OSI Digital, on the parallels between cloud and AI in the enterprise.
Prafulla Patil, founder of OneSolve, provides an actionable playbook to help businesses move beyond experimentation.
PwC Partner George Korizis explains why most companies get stuck in 'pilot purgatory' and how a new orchestration model can help them get out.
Al Liubinskas, VP at Capgemini, on why the key to AI orchestration isn't a new GenAI tool, but the enterprise integration platforms you already trust.
Anju Gupta, Chief Data and AI Officer at BNSF Railway, spoke with CIO News about her playbooks for AI transformation.
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
