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.
Milen Mahadevan discussed with CIO News tapping into Kroger’s data treasure trove, moving beyond AI pilots, and why people are the centerpiece to any successful AI strategy.
Amarish Pathak, CTO at AAFMAA Mortgage Services, joined CIO News to discuss how his three-layer "intelligence fabric" helps CIOs move beyond siloed AI and orchestrate proven business value.
With MCP, companies can instantly create AI agents that can autonomously execute commands. But enterprises may not be ready for what's next.
Wendy Turner-Williams, Co-Founder and Chief Data Architecture and Intelligence Officer at SymphraAI, on why enterprise AI succeeds only when it flows through entire business journeys.
Hallock Yost, Healthcare Technology Executive, on how aligning systems with clinical workflows is transforming care delivery and performance.
Michon Williams, CTIO of Mattamy Asset Management and Mattamy Homes, on why collapsing fragmented toolchains into a single AI-driven interface is where enterprise ROI actually emerges.
Sandeep Bansal, CIO at A-One Steels India Limited, on why governance-first architecture and disciplined technology sequencing are the keys to enterprise AI ROI.
Ariel Spak, former VP and CIO at Aramark, explained why closing the enterprise AI gap requires a leadership bet, not another pilot.
Paddu Melanahalli, Senior Director of Engineering at Cisco, on how AI is turning enterprise release governance into a predictive layer of financial risk intelligence.
Bk Vasan, a leading data & AI executive, on why enterprise AI value comes down to one principle: outcome first, orchestration second, tools last.
Nicholas Jackson, Vice President of ERP and Supply Chain Systems at Novolex, described how transformational debt accumulates when new technology lands on processes that were never redesigned.
Ian Schneller, 3x Fortune 500 CISO, on why AI risk belongs to the whole enterprise and what a cross-functional governance model actually looks like.
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
