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The latest News and Information on AIOps, alerting in complex systems and related technologies.

HIMSS 2026: The Future of Healthcare IT Operations Is Increasingly Autonomous

Apr 10, 2026 By Shailesh Manjrekar In Fabrix

HIMSS 2026 made something clear: healthcare is no longer discussing digital transformation as a future-state goal. It is now dealing with the operational reality of having already become deeply digital. Conversations around HIMSS 2026 consistently pointed back to the same pressure points: AI adoption, cyber resilience, interoperability, and infrastructure modernization. Together, they reflect a healthcare environment managing more systems, more dependencies, and more risk than ever before.

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Resolve's Zero Ticket Minute - Ep. 18 #agenticai #itautomation #aiautomation

Apr 10, 2026 By Resolve In Resolve

What if IT resolved issues before tickets? Instant data Auto resolution No queues Watch now.

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Resolve

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Beyond the Dashboard: Selector's Patented Approach to Conversational Observability

Apr 10, 2026 By Bob Slevin In Selector

For years, IT operations teams have been trapped in a frustrating paradox: the data they need to solve critical issues is right at their fingertips, yet entirely out of reach. Accessing it requires engineers to master complex, platform-specific query languages, dig through endless layers of dashboards, and hunt for the exact visualization that holds the answer. Under the intense pressures of modern speed, scale, and complexity, this rigid model is breaking down.

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Navigating the Complexities of Scaling AI in Enterprise Operations

Apr 10, 2026 By Digitate In Digitate

Findings from Digitate’s recent survey conducted with Sapio Research highlight a persistent challenge: AI is often implemented to reduce human workload and operational costs, yet these very factors continue to limit its broader adoption.

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The Path to AI-Ready Operations Begins with Truth

Apr 9, 2026 By ScienceLogic In ScienceLogic

Enterprises expect AI to improve how they operate, yet many underestimate the level of clarity required for intelligent systems to perform reliably. AI-assisted operations demand input signals that are accurate, consistent, and interpretable. They require a unified understanding of how services behave, how disruptions originate, and how decisions influence downstream outcomes. This level of coherence is impossible without operational truth.

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Episode 9 - AI, Enterprises, and the Law

Apr 8, 2026 By Digitate In Digitate

In this episode of The Intelligent Enterprise, host Tom Stoneman takes us inside the different ways that AI is being utilized in the practice of law. In this episode, Tom is joined by Vintee Mishra, an attorney who’s currently part of the Commercial Contracting Organization at Navy Federal Credit Union, and has previously occupied supporting roles at Tata Consultancy Services, Cisco, First Technology Credit Union, and Moody’s Analytics.

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AIOps for Hybrid and Multi-Cloud: Operating at Enterprise Scale

Apr 8, 2026 By Renuka Suresh In HEAL Software

CTOs, IT Directors, and Application Heads managing hybrid and multi-cloud enterprise environments.

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Resolve's Agents of IT podcast - Ep. 16 - Can AI Fix Broken Work Without Breaking Security?

Apr 8, 2026 By Resolve In Resolve

In this episode of Agents of IT, host Ari Stowe sits down with producer Ian Coppock for a fast-paced, no-filter discussion on one of the hottest topics in enterprise tech: AI, security, and the reality of modern work. Is AI introducing new security risks, or just exposing the ones that were already there? The answer is both. From overprivileged access to machine identities, Ari and Ian break down what’s actually changing and what isn’t. They challenge the idea that AI alone will fix broken workflows and explore why intentional design, guardrails, and orchestration matter more than ever.

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Resolve

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Traditional Automation vs. AIOps vs. Self-Healing Ops vs. Autonomous IT Explained

Apr 7, 2026 By Sofia Burton In LogicMonitor

Autonomous IT becomes real when teams move from insight to governed action. Most IT teams still operate on an alert-first, human-coordinated model. When something breaks, alerts fire across multiple tools, engineers get pulled in, and the first part of the response goes to figuring out who owns the problem, which signals matter, and how far the impact has spread. Containment comes after that. That sequence made sense in slower, more isolated environments.

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The Next Phase of Agentic AI

Apr 7, 2026 By Digitate In Digitate

The Enterprise AI Survey conducted by Digitate in collaboration with Sapio Research states that the journey of enterprise automation and AI adoption has evolved significantly. The initial waves focused primarily on improving accuracy, efficiency, and reducing costs. Now, the next phase, Agentic AI, is transforming this shift from mere automation to dynamic collaboration.

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