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FixStream with Cherwell Software Integrate Technologies

FixStream and Cherwell Software 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 data-centers 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.”

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, VP of Strategic Partnerships at Cherwell. “We are excited to work with FixStream to help our customers leverage machine learning and automation to further drive productivity increases.”

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FixStream with Cherwell Software Integrate Technologies

FixStream and Cherwell Software 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 data-centers 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.”

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, VP of Strategic Partnerships at Cherwell. “We are excited to work with FixStream to help our customers leverage machine learning and automation to further drive productivity increases.”

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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