FixStream, an artificial intelligence company for IT, has introduced an advanced version of its product, an AIOps platform to predict business application issues across an enterprise’s entire hybrid IT stack. With new Machine Learning (ML) algorithms, advanced multi-layer correlation from business transactions to application services and infrastructure, FixStream can rapidly identify issues that can significantly impact business.
With the rapid pace of digital transformation and the need for on-demand access 24/7, companies rely on their applications to do business more than ever before. When an application goes down even for just a few minutes, IT can take days or weeks to resolve issues, costing millions of dollars in revenue. It is very challenging for IT teams to pinpoint and resolve these issues due to the increasing growth of real-time business transactions, and the complex nature of dynamic hybrid and software-defined technologies.
'We are modernizing IT, giving it a seat at the executive table,” said Sameer Padhye, Founder and CEO of FixStream. “FixStream’s multi-layer correlation, visualization and machine learning capabilities across business KPI’s, applications and infrastructure is a game-changer, reducing the complexity of how enterprises identify issues across their IT infrastructure and saving millions in revenue by predicting outages in the future.”
FixStream applies a machine learning algorithm to contextually correlated data to automatically discover patterns, so IT operations can predict and visualize future outages. As a result of deep learning insights, IT teams can significantly reduce troubleshooting efforts from weeks, months, or days down to minutes.
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