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.
Vikas Krishan, Chief Digital Business Officer at Altimetrik, on why AI governance becomes the velocity layer when banks move past experimentation and confront years of deferred architecture.
A new tier of AI capability arrived this week. So did a new set of questions about who controls what.
CIOnews talked to UF Health's Craig Richardville about the importance of a digital foundation in healthcare, deciding when to build and when to buy, and the new mandate for technology leaders.
Anthony Moisant, Indeed's CIO and CSO, on building AI governance around friction points instead of token dashboards.
Michael Nieves, EVP and Head of Cloud at Capgemini, on why multi-cloud has evolved from accidental sprawl into a deliberate capability strategy driven by AI and business ambition.
As AI reshapes commerce, Unilever's Prashaant Huria talked to CIOnews about building an AI-centric shopping experience, the importance of APIs, and the CPG giant's data transformation.
Daniel Murphy, Head of SRE at PwC UK, on how AI adoption in regulated enterprises is not held back by budget, but by the operational gap between governance policy and engineering teams.
Aman Sharma, Principal Enterprise Architect AI/ML, on why production AI systems require AI gateways, orchestration middleware, and layer-by-layer observability rather than better prompts.
TCS Generative AI Developer Sai Santhosh Goud Bandari says AI adoption remains slow over security fears, urging risk-based governance rooted in DevSecOps and Zero-Trust.
Preetha Sekharan, CAIO at Hudson Valley Credit Union, on why point solutions fail to compound and what it takes to build a unified intelligence layer that decouples growth from cost.
Anuraag Saini, Senior Scientist and QSP Expert at Boehringer Ingelheim, on why pharma, energy and manufacturing need AI-augmented determinism instead of AI-first architecture.
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