FixStream and Cherwell Software Announce Strategic Collaboration to Automate the Detection and Resolution of IT Issues
Joint Solution to Integrate AIOps with ITSM and Accelerate Digital Transformation
SAN JOSE, Calif. and COLORADO SPRINGS, Colo., Aug. 20, 2018 /PRNewswire/ — FixStream, a pioneer in solutions for Artificial Intelligence for IT operations (AIOps), and Cherwell Software, a global leader in enterprise service management, today announced a strategic collaboration designed to accelerate digital transformation. The two companies will integrate their technologies to provide customers with a next-generation IT Operations solution leveraging machine learning with workflow automation to help more quickly and accurately find, predict and resolve ITSM (information technology service management) issues.
Modern IT environments are dynamic and IT Operations lack real-time, accurate visibility across their hybrid IT environments. Moreover, modern enterprises are now accelerating their digital business transformation, increasing the complexity of their IT environment while raising their expectations of performance and uptime of critical business applications.
“We are bringing a new approach to IT Operations that combines big data with machine learning to improve and automate key ITSM processes,” said Sameer Padhye, Founder and CEO of FixStream. “Our integration with Cherwell will automate the discovery of entities and their relationships across datacenters and the ingestion of the accurate inventory into Cherwell’s CMDB. This will reduce the complexity of how enterprises identify issues across their IT infrastructure and save millions in revenue by predicting outages in the future.”
FixStream will demonstrate the new joint solution at the Cherwell Global Conference in Colorado Springs, CO on September 18-20, 2018. The joint solution will integrate FixStream’s AIOps solution with Cherwell’s workflow automation software – the Cherwell® Service Management platform – and quickly detect patterns to predict and prevent future business outages across an enterprise’s entire hybrid IT stack.
FixStream first creates an accurate and real-time inventory of the physical, logical and virtual entity across the IT stack via an agent-less auto-discovery process. It then automatically updates Cherwell’s Configuration Management Databases (CMDB), correlates business transactions with applications and infrastructure, visualizing operational issues in the context of the business applications, and then applying machine learning to detect patterns and predict outages so that they can be fixed before they occur. IT staff can now identify and visualize in seconds the sequence of correlated events across datacenters as well as automate the root cause analysis of critical business processes, increasing CMDB accuracy.
“Facilitating IT Operations has always been at the core of our business and we are seeing massive opportunity with the rise of AI technology in the space that is likely to continue to spread across the enterprise,” said Matthew Peeples, Vice President of Strategic Partnerships. “We are excited to work with FixStream to help our customers leverage machine learning and automation to further drive productivity increases.”
FixStream is the Artificial Intelligence company for IT Operations. With FixStream’s industry-first multi-layer correlation, visualization and prediction of business application issues across an enterprise’s entire hybrid IT stack, IT operations can now get real-time insights and powerful analytics to prevent outages and increase revenues. For additional information, visit http://www.fixstream.com, or connect with FixStream on LinkedIn and Twitter.
About Cherwell Software
Cherwell (@Cherwell) empowers organizations to transform their business through the rapid adoption and easy management of digital services. Cherwell’s adaptable platform has enabled thousands of organizations to modernize their business operations with customizable service management, automation, and reporting across the enterprise. For more information, visit: http://www.cherwell.com.
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