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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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When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

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For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

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