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Building confidence in machine learning models for IT
Wednesday, June 12, 2019 by Richard Harris
OpsRamp announced OpsQ Observed Mode to build confidence in machine learning models for IT event and performance analysis. The Summer 2019 Release also introduces automated alert suppression to reduce human time spent on first-response to alerts, continuous learning-based alert escalation using live event data, and new infrastructure monitoring capabilities for cloud na...
Implementing and using AIOps reveled through new AIOps report
Monday, May 13, 2019 by Richard Harris
OpsRamp announced its State of AIOps Report and detailed findings on the real-world applicability of AI and machine learning for modern digital and IT operations teams.
The State of AIOps report serves as a factual account of how IT professionals are actually implementing and using AIOps in their organizations and answers the following questions:
Which technolo...
AIOps and why IT should care
Thursday, November 29, 2018 by Bhanu Singh
For years, industry leaders have rightfully evangelized the massive benefits of digital transformation. Abandoning outdated legacy systems and processes in favor of cloud-enabled ones helps produce greater insights, lowers operating costs, and streamlines operations for faster time-to-market of new products or services and a better overall customer experience. Already, ...
IT operations platform OpsRamp announces Fall 2018 release
Friday, September 14, 2018 by Christian Hargrave
OpsRamp has announced its Fall 2018 release with a new Topology Explorer, enhanced Service Maps, and comprehensive cloud database monitoring. The release expands on the use cases that modern digital operations teams use to discover, manage, and optimize their hybrid IT infrastructure.
OpsRamp’s latest release helps enterprise IT teams deliver IT operations-as-a...
