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Nexthink Incident Management Connector Released

Nexthink announced Nexthink Incident Management Connector, a connector to the Now Platform, that enables instant remediation of endpoint incidences, faster Meantime to Resolution (MTTR), greater endpoint visibility and improved IT governance.

As a ServiceNow partner, Nexthink’s most recent integration now enables IT operations teams to better address the productivity needs of business consumers. Nexthink Incident Management Connector enables IT staff to pre-empt major incidences, helping to reduce the reporting of such incidences by up to 35 percent; predict the probable causes and resolution times by 60 percent; and proactively identify end users that have been or could be impacted by the problems. With the new integration, first-level support staff are empowered to resolve issues without the need for costly and complex ticket escalations.

“Even in the most advanced organizations, end users lose more than 20 minutes of time each day because of computer issues, resulting in lost productivity for the business and lost credibility for IT,” said Samuele Gantner, VP Products, Nexthink. “Our new connector for ServiceNow addresses these challenges, providing not only complete visibility into endpoint devices, but also the ability to remediate issues with one click.”

Typically, when an incident is created within ServiceNow, it is associated with an end user and his or her endpoint device. Nexthink’s connector provides real-time performance, security metrics and configuration status details, providing complete visibility and the ability to remediate the issue in real time.

In addition to the availability of Nexthink Incident Management Connector, Nexthink offers a CMDB connector for ServiceNow. This integration automates change requests and incident management to proactively improve the user experience with Configuration Management Database (CMDB) updates.

“Our help desk customers are challenged with the need to be more process driven and efficient, while still putting the customer first and improving his/her experience, so it’s critical that they have quick and easy access to relevant information regarding impacted devices and the means to resolve them,” said Gantner. “With the integration provided by Nexthink Incident Management Connector, our customers will be able to not only automate the discovery of IT assets and relationships, but to also reduce call center tickets by taking instant remedial action in real time,” added Gantner.

Nexthink Incident Management Connector offers the following key features:

- Automatic Discovery of Device Information: Enables support agents and operations teams to immediately identify all endpoint devices used by the call center caller. Information, such as machine names, is easily accessible to speed up incident processing.

- Real-Time Device Scoring Dashboard: Enables IT to instantly pinpoint critical problems. The dashboard’s traffic light graphics provide instant visuals to help IT identify what is happening on affected endpoints and prioritize activities.

- Rapid Device Integration: Provides IT with all the information they need about a particular endpoint device for fast investigations in real time, directly from the Device Properties tab on the console. The information is customizable so that IT can determine what device properties it needs in order to take fast action.

- One-Click Remediation: After identifying specific problems related to end-user devices from a call center Level-One checklist, the solution enables support staff to automatically remediate directly from the console instantly.

Nexthink Incident Management Connector is available now.

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Nexthink Incident Management Connector Released

Nexthink announced Nexthink Incident Management Connector, a connector to the Now Platform, that enables instant remediation of endpoint incidences, faster Meantime to Resolution (MTTR), greater endpoint visibility and improved IT governance.

As a ServiceNow partner, Nexthink’s most recent integration now enables IT operations teams to better address the productivity needs of business consumers. Nexthink Incident Management Connector enables IT staff to pre-empt major incidences, helping to reduce the reporting of such incidences by up to 35 percent; predict the probable causes and resolution times by 60 percent; and proactively identify end users that have been or could be impacted by the problems. With the new integration, first-level support staff are empowered to resolve issues without the need for costly and complex ticket escalations.

“Even in the most advanced organizations, end users lose more than 20 minutes of time each day because of computer issues, resulting in lost productivity for the business and lost credibility for IT,” said Samuele Gantner, VP Products, Nexthink. “Our new connector for ServiceNow addresses these challenges, providing not only complete visibility into endpoint devices, but also the ability to remediate issues with one click.”

Typically, when an incident is created within ServiceNow, it is associated with an end user and his or her endpoint device. Nexthink’s connector provides real-time performance, security metrics and configuration status details, providing complete visibility and the ability to remediate the issue in real time.

In addition to the availability of Nexthink Incident Management Connector, Nexthink offers a CMDB connector for ServiceNow. This integration automates change requests and incident management to proactively improve the user experience with Configuration Management Database (CMDB) updates.

“Our help desk customers are challenged with the need to be more process driven and efficient, while still putting the customer first and improving his/her experience, so it’s critical that they have quick and easy access to relevant information regarding impacted devices and the means to resolve them,” said Gantner. “With the integration provided by Nexthink Incident Management Connector, our customers will be able to not only automate the discovery of IT assets and relationships, but to also reduce call center tickets by taking instant remedial action in real time,” added Gantner.

Nexthink Incident Management Connector offers the following key features:

- Automatic Discovery of Device Information: Enables support agents and operations teams to immediately identify all endpoint devices used by the call center caller. Information, such as machine names, is easily accessible to speed up incident processing.

- Real-Time Device Scoring Dashboard: Enables IT to instantly pinpoint critical problems. The dashboard’s traffic light graphics provide instant visuals to help IT identify what is happening on affected endpoints and prioritize activities.

- Rapid Device Integration: Provides IT with all the information they need about a particular endpoint device for fast investigations in real time, directly from the Device Properties tab on the console. The information is customizable so that IT can determine what device properties it needs in order to take fast action.

- One-Click Remediation: After identifying specific problems related to end-user devices from a call center Level-One checklist, the solution enables support staff to automatically remediate directly from the console instantly.

Nexthink Incident Management Connector is available now.

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...