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Cherwell Service Management Integrates with Azure Machine Learning

Cherwell Software announced that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution.

Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. Cherwell customers can now harness the power of Azure Machine Learning to analyze incident and ticket data stored within Cherwell Service Management, and utilize pattern recognition to create algorithms that assist with incident prioritization, triage, and resolution.

“Azure Machine Learning and the Cortana Intelligence Suite offer an easy way to add powerful intelligence to existing applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management,” commented Dawson Stoops, VP of Technical Alliances at Cherwell.

Cherwell Service Management is built on a flexible, codeless platform, empowering Cherwell customers to rapidly embrace new innovations such as machine learning and artificial intelligence to enrich the service management experience of their business users.

“With Cherwell, the future of service management is here and now,” said Josh Caid, VP of Innovation at Cherwell. “Azure Machine Learning, when combined with Cherwell Service Management, extracts the intelligence hidden within vast amounts of data to help IT teams work smarter and deliver better services. But the bigger story here is that the Cherwell platform enables customers to implement next-generation capabilities and solutions as they emerge, and apply them to their service models to drive superior outcomes. For Cherwell customers, the possibilities are truly endless.”

The Azure Machine Learning integrations, which can be downloaded and applied to Cherwell Service Management instances in a matter of minutes, will be available shortly on the Cherwell mApp Exchange.

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Cherwell Service Management Integrates with Azure Machine Learning

Cherwell Software announced that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution.

Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. Cherwell customers can now harness the power of Azure Machine Learning to analyze incident and ticket data stored within Cherwell Service Management, and utilize pattern recognition to create algorithms that assist with incident prioritization, triage, and resolution.

“Azure Machine Learning and the Cortana Intelligence Suite offer an easy way to add powerful intelligence to existing applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management,” commented Dawson Stoops, VP of Technical Alliances at Cherwell.

Cherwell Service Management is built on a flexible, codeless platform, empowering Cherwell customers to rapidly embrace new innovations such as machine learning and artificial intelligence to enrich the service management experience of their business users.

“With Cherwell, the future of service management is here and now,” said Josh Caid, VP of Innovation at Cherwell. “Azure Machine Learning, when combined with Cherwell Service Management, extracts the intelligence hidden within vast amounts of data to help IT teams work smarter and deliver better services. But the bigger story here is that the Cherwell platform enables customers to implement next-generation capabilities and solutions as they emerge, and apply them to their service models to drive superior outcomes. For Cherwell customers, the possibilities are truly endless.”

The Azure Machine Learning integrations, which can be downloaded and applied to Cherwell Service Management instances in a matter of minutes, will be available shortly on the Cherwell mApp Exchange.

The Latest

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? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...