Enterprise AI for CIOs—agentic systems, workflow orchestration, LLMOps, and governance that turn pilots into business outcomes.
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.
Chief Information and Product Officer Prat Vemana on why technology leaders are the backbone of organizations, and turning internal excitement over AI into elevated experiences for customers.
With a career spanning oil and gas, retail, IT infrastructure, and consumer packaged goods, CIO News spoke with Scott about what it takes to morph a heritage retailer into a technology company.
As AI thrusts technology even deeper into enterprise operations, IT can no longer just be an order taker. In the past, technology teams typically worked in a silo, and often built or invested in solutions without understanding the specific problems users were trying to solve. This greatly undermined
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.
Fintech Ramp's latest spending figures indicate U.S. corporate AI deployment stalled in May, following nearly a year of consistent growth, suggesting businesses are becoming more measured in their AI rollouts: The 41% stall: Ramp's AI Index , analyzing expenditures from over 30,000 U.S. businesses,
It's e-commerce's greatest irony: Brands invest heavily to pinpoint their ideal customers, only to greet them with the same generic storefront as everyone else. The chasm between intelligent acquisition and cookie-cutter experiences sabotages conversion funnels and deflates marketing ROI. Maju Kuruv
Fintech’s rush to bundle everything into sleek, API-driven platforms gives developers a faster path to market. But with every all-in-one solution comes a tradeoff: Convenience often comes at the cost of control. What looks seamless can quickly turn into a walled garden—easy to enter, hard to leave.
The enterprise rush towards AI is finally pivoting from broad experimentation towards tangible, reliable results. As organizations look to integrate AI deeper into their workflows, the focus is turning towards systems that offer not just novelty, but genuine efficiency, trustworthiness, and a clear
Kenneth Burdine, Deputy CIO of the Kentucky Community and Technical College System, described how treating AI as a force multiplier for proactive operations rather than a novelty technology helped KCTCS compress a network deployment.
Jason Andrews, VP of Strategy and Planning for Engineering Operations at Cisco, on why platform migrations work best when teams leave process debt behind.
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.
