Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders
Former JSX CIO, Craig Airitam, on why durable enterprise AI value lives in the guardrails, observability, and contracts around the model rather than in the model itself.
Pawanjit Singh, CIO of Centria Autism, on why AI use cases reach production only when they answer to a business value driver, and why every new agent starts its career as a closely supervised intern.
Khwaja Shaik, CTO, Industry Market at IBM, Board Director (MOSH), on why a risk-based intake framework, cross-functional governance committee, and board-level oversight give enterprises the structure to scale AI without slowing down.
Krishnamurthy Rajesh, CIO of Digital Transformation and AI Strategy at Vinmegham, on why "on the loop" supervision gives enterprises both the efficiency gains and the accountability structure that "in the loop" oversight can't deliver simultaneously.
Aaron Rallo, Co-Founder and CEO of Trovia, on why the last stretch of an AI project is the hardest and what it takes to clear security review.
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.
Ramin Rastin, SVP of Data Engineering & Advanced Data Sciences at GXO Logistics, on turning a unified data foundation into a market-ready AI product.
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