Numerify Announces Release of its Major Incident Risk Prediction Engine at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference 

IT Business Analytics leader releases new capability to help organizations reduce the risk of service disruptions 

Numerify, the leader in AI-powered IT Business Analytics for the Global 2000, announced today at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference the release of its artificial intelligence (AI)-powered Major Incident Risk Prediction Engine to help organizations predict and prevent service disruptions.

This new capability is included in the Numerify Service Management Process Optimization solution that provides IT executives with unprecedented visibility and actionable insights into their service management processes.

Many IT operations teams focus on reducing the amount of time it takes to detect and resolve a major incident, understandable given that downtime costs companies over $300,000 per hour. However, the very systems and processes that help detect and respond to a major incident also carry signals that help predict and prevent major incidents from occurring.

The Numerify Major Incident Risk Prediction Engine provides IT operations leaders with an early warning system. Similar to the way the widely adopted Numerify Change Risk Prediction Engine works, machine learning (ML) models sift through historical event data to identify not only risk factors but also their combinations and thresholds that are unique to an individual customer’s environment. These models can correlate structured and unstructured data from multiple transactional and observability systems, including ITSM, APM, CMDB, and DevOps.

Once the engine has identified a business service with a high risk of failure, IT leaders can take proactive action to mitigate or eliminate risk. For example, the model may predict that an application is highly vulnerable on a particular day of the week if there are medium- to high-risk changes planned, a growing number of minor incidents, and a high number of infrastructure alerts. In this scenario, actions may include freezing all changes to the application on that day of the week until infrastructure health improves and assigning a problem team to deal with growing incident clusters.

“We’re excited to be launching this new capability today. Our Major Incident Risk Prediction Engine will help IT operations leaders move from reactive to proactive major incident management,” said Srikant Gokulnatha, Numerify co-founder and Chief Product Officer. “Our new solution incorporates the same proven principles we first introduced in the Change Risk Prediction solution that has already delivered millions of dollars in savings to a range of customers across industries. Over time, we will extend these capabilities to measuring the health, risk, and, ultimately, the value of our customers’ applications so they can deliver superior business outcomes.”

To see this new service, visit Numerify at booth #144 at the Gartner IT Infrastructure, Operations & Cloud Strategies Conference.

About Numerify
Numerify is the leader in AI-powered IT Business Analytics for the Global 2000 IT. Trusted by leading brands, including 5 of the Fortune 50, its System of Intelligence™ helps IT teams plan, build, and run the systems that power more than $500B of commerce and achieve measurable ROI by becoming more efficient and agile while reducing risk and disruptions.

Numerify was founded by industry veterans from Oracle, MicroStrategy, and Hyperion and is headquartered in San Jose, CA, with offices in Chicago, IL, and Bangalore, India. The company is backed by Lightspeed Venture Partners, Sequoia Capital, Tenaya Capital, DAG Ventures, Silicon Valley Bank, and Four Rivers Group.

Visit www.numerify.com and join the conversation on Twitter @numerify.

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