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.
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.
As agentic AI moves into execution, Cisco VP Jason Andrews outlined why process standardization has become the real infrastructure behind scalable, trustworthy automation.
Pranav Kumar, Sr. Director of Digital, Data & AI at Capgemini, explained why centralized governance is the missing infrastructure that determines if enterprise AI agents create value.
Shaukat Ali Khan, Executive CDIO at NHS West Yorkshire Integrated Care Board, outlined why most AI pilots stall and how data, governance, and skills turn experiments into impact.
Juan Antonio Peña González, a Principal Enterprise Architect and CTO Advisor at Google, offers a new path for AI governance.
Shawn Harrs, EVP and CIO at Red Lobster, on how AI is breaking cloud and on-prem parity, forcing CIOs to align capability and cost.
Geoff Kau, Head of AI and Corporate Functions Technology at JLL, on why commercial real estate can’t unlock AI’s value until it addresses data debt.
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On a recent podcast, TIAA's Sastry Durvasula outlined the company's "three-legged stool" approach to AI development, and shared TIAA's most impactful use cases.
Doneyli De Jesus, Solutions Architect at ClickHouse, on how Anthropic is proving that the future of AI will be decided by those who control the end-to-end stack.
Joe Cordeira, Chief Data and Analytics Officer at UBS, created an AI driven flywheel that scaled advisor expertise into a system delivering millions of insights.
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Workato field CTO Avinash Deshpande explained the key pillars of any AI-ready data strategy, and how to turn proprietary assets into monetary returns.