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New Version of Cherwell Service Management Released

Cherwell Software announced the general availability of the newest version of Cherwell Service Management software that enables IT to quickly and easily adapt to today’s ever-changing business landscape. With the power to more easily configure and customize Cherwell Service Management implementation, IT organizations can enhance the user experience while increasing productivity to better utilize scarce resources.

“We are excited to provide customers with the means to design their own Cherwell experience,” said Josh Caid, VP of Cherwell Product Management. “We heard from our customers that they need to more easily customize their Cherwell Service Management environment, thus our focus in this release on the self-service portal and theme editor. We want our customers to be in a position to drive better utilization, from both IT and the business.”

According to Gartner, “IT self-service can address close to half of contacts made to the IT service desk (such as technical support, IT equipment ordering and password reset requests). Currently, 34% of IT organizations provide IT self-service, and an additional 40% are planning to implement it over the next 18 months. Analyst inquiries on IT self-service and IT service support topics indicate that no more than half will successfully complete these activities. By 2017, half of IT organizations will offer IT self-service to business users as an alternative method of contact to phone and email, up from a third in 2014.”

“It is critical to co-create the self-service offering with your business leaders (who pay for the service) and the business user community (who use the service). Timing is crucial when it comes to gathering feedback; often this is left until the user acceptance testing phase of IT self-service rollout, which is far too late to make any significant changes in design or usability,” wrote Chris Matchett, research director at Gartner, et al. “Directly involve key members of your end-user community in any tool selection and portal design process.”

The latest version of Cherwell Service Management software delivers the following features and capabilities:

New Look and Feel and Ease of Use:

- The Self-Service Portal and Service Catalog have been updated with an open, modern design for easy access and ease of use. The polished user experience makes data more accessible and helps users better visualize and interpret information in dashboards.

- The One-Step Visual Workflow designer has a new graphical interface, which allows users to build One-Step actions to customize workflows and automate tasks. Users can simply drag and drop action items into workflows.

- The browser client has been updated for a sleeker appearance and more robust support structure.

Higher Levels of Customization to Address Usability:

- The new Theme Editor/Engine improvements provide rich editing capabilities, which allow users to customize the Cherwell Service Management solution to match their corporate brand for a seamless client experience without the help of scarce development resources.

- A new user-friendly SDK package utility helps users configure interfaces to other systems without the need for extensive programming experience.

Compliance and Controls to Strengthen Data Security:

- All algorithms in use, including SAML, now meet FIPS compliance standards, which better enable customers to better protect their networks, certification and accreditation process.

Improved Scalability and Performance:

- Added functionality to the Server Manager to configure and setup server farms to improve scalability.

- Improved Load Balancing and Scheduler Enhancements to continuously manage tasks between different time zones, and different servers based on business hours.

The new release also includes improvements to out-of-the-box best practices and reporting capabilities, in direct response to customer feedback.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

New Version of Cherwell Service Management Released

Cherwell Software announced the general availability of the newest version of Cherwell Service Management software that enables IT to quickly and easily adapt to today’s ever-changing business landscape. With the power to more easily configure and customize Cherwell Service Management implementation, IT organizations can enhance the user experience while increasing productivity to better utilize scarce resources.

“We are excited to provide customers with the means to design their own Cherwell experience,” said Josh Caid, VP of Cherwell Product Management. “We heard from our customers that they need to more easily customize their Cherwell Service Management environment, thus our focus in this release on the self-service portal and theme editor. We want our customers to be in a position to drive better utilization, from both IT and the business.”

According to Gartner, “IT self-service can address close to half of contacts made to the IT service desk (such as technical support, IT equipment ordering and password reset requests). Currently, 34% of IT organizations provide IT self-service, and an additional 40% are planning to implement it over the next 18 months. Analyst inquiries on IT self-service and IT service support topics indicate that no more than half will successfully complete these activities. By 2017, half of IT organizations will offer IT self-service to business users as an alternative method of contact to phone and email, up from a third in 2014.”

“It is critical to co-create the self-service offering with your business leaders (who pay for the service) and the business user community (who use the service). Timing is crucial when it comes to gathering feedback; often this is left until the user acceptance testing phase of IT self-service rollout, which is far too late to make any significant changes in design or usability,” wrote Chris Matchett, research director at Gartner, et al. “Directly involve key members of your end-user community in any tool selection and portal design process.”

The latest version of Cherwell Service Management software delivers the following features and capabilities:

New Look and Feel and Ease of Use:

- The Self-Service Portal and Service Catalog have been updated with an open, modern design for easy access and ease of use. The polished user experience makes data more accessible and helps users better visualize and interpret information in dashboards.

- The One-Step Visual Workflow designer has a new graphical interface, which allows users to build One-Step actions to customize workflows and automate tasks. Users can simply drag and drop action items into workflows.

- The browser client has been updated for a sleeker appearance and more robust support structure.

Higher Levels of Customization to Address Usability:

- The new Theme Editor/Engine improvements provide rich editing capabilities, which allow users to customize the Cherwell Service Management solution to match their corporate brand for a seamless client experience without the help of scarce development resources.

- A new user-friendly SDK package utility helps users configure interfaces to other systems without the need for extensive programming experience.

Compliance and Controls to Strengthen Data Security:

- All algorithms in use, including SAML, now meet FIPS compliance standards, which better enable customers to better protect their networks, certification and accreditation process.

Improved Scalability and Performance:

- Added functionality to the Server Manager to configure and setup server farms to improve scalability.

- Improved Load Balancing and Scheduler Enhancements to continuously manage tasks between different time zones, and different servers based on business hours.

The new release also includes improvements to out-of-the-box best practices and reporting capabilities, in direct response to customer feedback.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.