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Closing the AIOps Gap: Why AI Insights Need Trusted Action

Closing the AIOps Gap: Why AI Insights Need Trusted Action

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Modern enterprise IT environments have reached an inflection point. As organizations manage increasingly complex hybrid cloud, microservices, and distributed architectures, they are investing heavily in observability and AIOps to improve visibility, reduce noise, and identify issues faster. But better insight alone is not enough. Many organizations still struggle to translate detection into timely remediation, leaving mean time to resolution stubbornly high and operational teams stuck in reactive workflows.

To close this gap, organizations need more than monitoring. They need trusted, governed automation that can turn AI-driven insight into operational action. Event-driven automation helps bridge the divide between observability and remediation by enabling systems to respond to known conditions with approved, repeatable workflows. This creates the foundation for more proactive, self-healing IT operations while preserving the consistency, auditability, and control enterprises require.

In our latest thought leadership report, Closing the AIOps Gap: Why AI Insights Need Trusted Action, completed in partnership with Red Hat, Futurum Research examines the growing disconnect between AIOps insight and operational response. The report explores how event-driven automation can help organizations operationalize AIOps at scale, reduce manual remediation, and prepare for a future in which AI agents and governed automation work together to support more adaptive IT operations.

In this brief, you will learn:
  • Why observability investments alone are not delivering proportional operational improvement
  • How event-driven automation helps close the insight-to-action gap
  • Which automation-enabled AIOps use cases offer the clearest near-term value
  • How organizations can bridge the skills gap with accessible automation and AI-assisted content creation
  • What enterprises should do now to prepare for more agentic IT operations in the future
Download the Closing the AIOps Gap: Why AI Insights Need Trusted Action to learn how governed automation helps enterprises turn AIOps insight into trusted operational action.

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Author Information

Nick Patience is VP and Practice Lead for AI Platforms at The Futurum Group. Nick is a thought leader on AI development, deployment, and adoption - an area he has researched for 25 years. Before Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, responsible for 451 Research’s coverage of Data, AI, Analytics, Information Security, and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm that Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.

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