Our joint customers will benefit from the added-value of Prelert’s technology.
Las Vegas, NV (PRWEB) November 14, 2011
Prelert, the leading provider of self-learning, predictive IT analytics add-ons for application and infrastructure monitoring systems, is exhibiting their latest software at CA World. Located in booth 234 in the Service Assurance focus area, Prelert will be demonstrating support for CA Application Performance Management (APM) and previewing their planned integration with CA Service Operations Insight (SOI) and CA NetQoS Performance Center.
“CA Technologies service assurance solutions offer tremendous instrumentation at every layer of an application environment,” explains Kevin Conklin, VP of Marketing for Prelert. “Prelert’s Predictive Analytics use this data in real-time to self-learn the monitored environment’s behavior patterns and identify problems and their root cause predictively as they develop.”
The majority of IT management technologies in use today depend on human expertise in the form of metric thresholds, alert rules, relationship models and/or management dashboards. The complex and dynamic nature of today’s critical application environments, however, exceeds many IT organizations’ abilities to define and maintain this ‘expert knowledge’. Prelert eliminates the need to define thresholds, rules and models and minimizes the effort required to support dashboards. Its highly advanced analytics provide the detailed information necessary to find and fix problems as soon as they develop. IT teams free up expert resources while reducing the cost, duration and frequency of service disruptions by up to 90%.
Prelert harnesses powerful 3rd generation machine learning algorithms that surpass the capabilities of previous artificial intelligence technologies such as expert systems and neural networks. Unlike competitive solutions, it is truly self-learning and can asynchronously process and discover relationships between a virtually unlimited number of logs entries, event notifications and time-series metrics. Similar to Predictive Analytics technologies used to identify the activity patterns of consumers, Prelert learns the behavior patterns of complex application environments and identifies anomalous activities as they develop. It then provides the user with a detailed narrative of the activity pattern so they can fully understand the root cause.
“Prelert’s self-learning, predictive IT analytics is complementary to our service assurance solutions,” said Patrick Ancipink, vice president of marketing, Service Assurance, CA Technologies. “Our joint customers will benefit from the added-value of Prelert’s technology.”
Prelert provides Self-Learning Predictive IT Analytics add-on applications that turbocharge existing application and infrastructure monitoring systems. We offer the industries most advanced artificial intelligence based analysis algorithms in an easily integrated model that fully complements your existing management environment. Because it is a truly self-learning system, our customers free up expert resources for project implementations while reducing the cost, duration and frequency of disruptions by 90%.
Copyright 2011 Prelert, Inc. All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.
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