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.
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.
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.
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
