Catchpoint Introduces Guided Intelligence
June 29, 2017
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Catchpoint announced the addition of Guided Intelligence to the Catchpoint Platform.

Guided Intelligence is a suite of algorithmic features that helps IT and DevOps teams quickly gain actionable insights from Catchpoint’s vast performance monitoring data, reducing Mean Time to Identify (MTTI) and improving delivery of digital services.

“With Guided Intelligence, we’ve solved the problem of information overload, giving IT and DevOps teams the ability to improve how they troubleshoot and identify performance issues affecting customers,” says Dritan Suljoti, CPO and co-founder of Catchpoint.

Guided Intelligence automatically sifts through the vast amount of elements traversing the internet such as the network, third-party providers, and application programming interfaces (APIs) that can degrade application performance and disrupt the customer or end-user experience. By synthesizing this data from Catchpoint’s geographically extensive array of vantage points, Guided Intelligence identifies likely root causes and predicts IT and business outcomes.

Trio of Guided Intelligence Features: Guided Intelligence’s trio of new features includes:

- Smartboard: Automatically highlights issues impacting user performance in a single, interactive view, providing IT professionals with a quick summary and contextual information without the need to sift through multiple analyses.

- Outage Analyzer: Identifies regional performance problems in all relevant geographies using predictive models from real user data, enabling IT users to understand the scope and extent of an outage with the click of a button.

- User Engagement Estimator: Creates “what if” scenarios to understand the impact of potential changes on performance and business metrics such as revenue.

Traditional solutions gather data on internal datacenter elements, correlating them to application performance. While this capability is important, today’s introduction reflects Catchpoint's belief that traditional approaches must evolve to a more user experience-centric approach known as digital experience monitoring.

Algorithmic IT operations platforms enable infrastructure and operations (I&O) leaders “to meet the proactive, personal and dynamic demands of digital businesses by transforming the very nature of IT operations work via unprecedented, automated insight,” writes Colin Fletcher, Research Director, IT Operations, Gartner. “Current and future demands of infrastructure and operations (I&O) require a specific, strategic investment in a platform that is designed to collect and analyze data from any source with the assistance of increasingly intelligent machines.”

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