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Nexthink Receives Application Certification from ServiceNow for Sale on ServiceNow Store

Nexthink has received certification of the Nexthink platform with ServiceNow.

Certification by ServiceNow signifies that Nexthink has successfully completed a set of defined tests focused on integration interoperability, security and performance. The certification also ensures that best practices are utilized in the design and implementation of Nexthink’s solution with ServiceNow.

Nexthink’s end-user experience management software combines real-time endpoint analytics and end-user feedback. With the new integration, now it’s possible for IT teams to automatically streamline IT operations by dynamically gathering end-user computing information from every endpoint for precise mapping and visibility into the services and applications that are being consumed.

It also enables IT operations teams using ServiceNow to:

- Automate change requests and incident management to proactively improve the user experience with Configuration Management Database (CMDB) updates addressing IT issues impacting people at work and endpoint performance, as well as satisfaction and feedback from end-users

- Simplify auditing and compliance requirements with accurate asset and usage data that is populated directly into the CMDB, ensuring that it is always up-to-date, reflecting the most recent changes

“With this new ServiceNow certification, we’re able to help our customers create a more advanced CMDB,” said Samuele Gantner, VP Products, Nexthink. “This new integration automates the discovery of IT assets and relationships, enabling IT departments to obtain a more coherent, up-to-date and service-aware CMDB that is capable, for instance, of showing the consequences of a change request in terms of impacted end-users and not only datacenter CIs.”

The Nexthink CMDB Connector is now available in the ServiceNow Store.

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Nexthink Receives Application Certification from ServiceNow for Sale on ServiceNow Store

Nexthink has received certification of the Nexthink platform with ServiceNow.

Certification by ServiceNow signifies that Nexthink has successfully completed a set of defined tests focused on integration interoperability, security and performance. The certification also ensures that best practices are utilized in the design and implementation of Nexthink’s solution with ServiceNow.

Nexthink’s end-user experience management software combines real-time endpoint analytics and end-user feedback. With the new integration, now it’s possible for IT teams to automatically streamline IT operations by dynamically gathering end-user computing information from every endpoint for precise mapping and visibility into the services and applications that are being consumed.

It also enables IT operations teams using ServiceNow to:

- Automate change requests and incident management to proactively improve the user experience with Configuration Management Database (CMDB) updates addressing IT issues impacting people at work and endpoint performance, as well as satisfaction and feedback from end-users

- Simplify auditing and compliance requirements with accurate asset and usage data that is populated directly into the CMDB, ensuring that it is always up-to-date, reflecting the most recent changes

“With this new ServiceNow certification, we’re able to help our customers create a more advanced CMDB,” said Samuele Gantner, VP Products, Nexthink. “This new integration automates the discovery of IT assets and relationships, enabling IT departments to obtain a more coherent, up-to-date and service-aware CMDB that is capable, for instance, of showing the consequences of a change request in terms of impacted end-users and not only datacenter CIs.”

The Nexthink CMDB Connector is now available in the ServiceNow Store.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...