NetApp Announced AI-Powered Infrastructure Tools
The company introduced predictive storage management tools to bridge the gap between pilot programs and production.
Updated on Sept. 29, 2026 in Artificial Intelligence
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NetApp unveiled new AI-powered storage management features during the NetApp Insight 2026 conference. The update introduces predictive maintenance and automated remediation tools designed to help enterprises move AI projects from pilot phases to active production.
Why it matters
The development arrives as executives struggle with low success rates for AI implementations, often hindered by data silos and poor quality. It aims to address the disconnect where only one-in-eight CEOs currently see tangible revenue or cost improvements from AI investments.
The new features allow users to integrate large language models directly into the NetApp Console for infrastructure monitoring. The software addresses data silos through the ONTAP management platform, comparing the automated remediation approach against previous manual management methods.
The players
NetApp
A data management provider specializing in storage infrastructure, cloud-integrated services, and the ONTAP software stack.
George Kurian
The Chief Executive Officer of NetApp who emphasized that AI success requires alignment between business leadership and strategic implementation.
IDC
A market intelligence firm that provides research and analysis on technology trends and infrastructure challenges.
The details
NetApp has introduced predictive maintenance insights and automated remediation within its storage management software. By integrating large language models into the NetApp Console, the system identifies and corrects infrastructure bottlenecks. These tools are designed to mitigate data silos, which IDC research identifies as the primary barrier to successful AI adoption.
Timeline
August 2025: MIT study reported a 95% failure rate for enterprise AI projects.
January 2026: Industry research found half of agentic AI projects remained at the pilot stage.
September 2026: NetApp Insight 2026 took place in September.
The Tech Race
The push to automate storage management follows widespread industry findings that seven-in-ten leaders face significant hurdles with data silos. NetApp is positioning its ONTAP platform to solve these architectural bottlenecks as companies move past the initial pilot phase.
Enterprise infrastructure teams can begin integrating these new predictive maintenance and remediation features through the NetApp Console. The transition from manual monitoring to automated infrastructure oversight is aimed at streamlining AI workflows for current NetApp ONTAP users.
The takeaway
Enterprise AI success remains elusive for many, with half of agentic projects stalled at the pilot phase. Organizations should track future benchmarks regarding whether these automated remediation features actually move project completion rates above the current one-in-eight success metric.
Further reading
For broader trends in enterprise deployment, visit Artificial Intelligence.
Source note: This article includes information reported by ITProUK.
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