Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders
With hundreds of AI agents in production, Richard Teachout, Chief Technology Officer at Ashley Furniture, is replacing the central knowledge base with a self-correcting layer that flags when reality drifts from documented process.
Jason Jodoin, President of 23 Advisory Group, on why an agent headcount tells CIOs nothing about the risk underneath it, and how product discipline turns a sprawling estate into a governed one.
As health systems head toward thousands of AI capabilities, Craig Richardville, Chief Digital and Information Officer at UF Health, on the discipline that matters most is knowing when to decommission a model, not just how to deploy one.
Bank of America announced 270 active AI models across its business, a strategy its CEO says is building a competitive "moat."
The World Bank's Sheila Jagannathan explained how companies can escape the AI trap with re-engineered processes and a hybrid workforce.
Shivkumar Thiagarajan, Co-CEO of DynPro Inc., on AI's role as a "digital archaeologist" within organizations.
Chet Gandhi, CTO at DynPro and Founder of CIOptimize, shares how CIOs can adopt AI through business-first strategy, collaboration, and culture.
BK Vasan, veteran data and AI leader for American Eagle, T-Mobile, and Walmart, explains why leaders must fix data and processes before investing heavily in AI.
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Exec Brian Tilzer explains why C‑suite alignment is essential for enterprise AI transformation, prioritization, and decision making in the modern business era.
HP's Aaron Weller shared how to reframe governance as a strategic tool to help organizations accelerate innovation.
Sergio Gutiérrez-Montero, AI Director at Abbvie, explains that most AI investments fail when companies avoid reinventing core business workflows.
Preetha Sekharan, VP of Transformation at Unum Group, on why the shift from offshoring to autonomous agentic systems is prompting a reevaluation of work structures.
