"Tripathi, only months into his role at ServiceNow, stressed the importance of grounding product strategy in lived practitioner experience. Having led DevOps teams himself, he emphasized that ITSM remains the "bread and butter" of ServiceNow, but AI integration is reshaping expectations for productivity and security across IT operations. Boitano reflected on NVIDIA's long journey from pushing CUDA adoption in 2008-when many thought GPU computing was a stretch-to today, where GPUs and AI frameworks have become central to enterprise computing."
"Ben Haim underscored the urgency behind what he called "AI FOMO." With board-level pressure driving 40% of CIOs to expand AI budgets, enterprises are rapidly embedding AI into software supply chains. For JFrog, that means positioning itself as the "system of record" for DevOps, launching new platforms like JFrog Fly to simplify AI agent adoption while strengthening governance, traceability and security."
"Together, the panel painted a picture of an industry balancing excitement with pragmatism. AI agents may not replace developers anytime soon, but they are already changing workflows, tooling expectations, and the economics of software delivery. As the panelists made clear, success will depend less on hype and more on how well organizations align AI adoption with trust, verification, and long-term resilience."
Grounding product strategy in lived practitioner experience remains central to effective IT operations. ITSM continues as a core operational capability while AI integration reshapes expectations for productivity and security across IT operations. NVIDIA's progression from early CUDA advocacy to widespread GPU and AI framework adoption has made GPUs central to enterprise computing and underscores the importance of ecosystem partnerships. Board-level pressure and AI FOMO drive many CIOs to expand AI budgets and embed AI into software supply chains. Positioning as a system of record, new platforms like JFrog Fly aim to simplify AI agent adoption while strengthening governance, traceability, and security. Success hinges on aligning AI adoption with trust, verification, and long-term resilience.
Read at DevOps.com
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