
Nexthink joined the ServiceNow Service Graph Connector Program with the release of the Nexthink Service Graph connector, helping customers quickly, easily, and reliably load third-party data into their system, enabling data quality, timeliness, and scalability.
The Service Graph Connector for Nexthink enables customers to effortlessly enrich and enhance their CMDB environment with key Nexthink DEX intelligence to greatly improve visibility over digital services throughout their entire lifecycle, allowing customers to:
- Connect the dots between devices, application and their relationships to drive rapid and impactful change management, incident management and transformation activities.
- Simplify the data ingestion process with guidance, governance and reconciliation capabilities to guarantee data quality from the start and avoid headaches during implementation.
- Scale the CMDB to easily work with large amount of data while maintaining quality, enabling fast and effective investigation across the entire database.
“Nexthink and ServiceNow are a natural fit and together we can equip IT and end-user computing teams with the data and insights they need to do their job more proactively at scale, ” said Yassine Zaid, Chief Strategy Officer at Nexthink. “This is especially important now in the world of remote work, where thousands of employees are scattered across geographies. Nexthink with ServiceNow, empowers IT to bring together technology, people, and processes into a service-oriented view to provide the best digital experiences.”
ServiceNow Service Graph evolves the ServiceNow Configuration Management Database (CMDB) beyond inventory and asset management. IT organizations are empowered with a broad and deep data foundation for managing the entire lifecycle of digital products and services. Service Graph underpins all ServiceNow products, allowing customers to tie together technology, people, and processes into a service-oriented view. This connected approach enables customers to leverage their existing CMDB investment to rationalize portfolios, automate development and cloud operations, manage risk, and understand ROI, driving high-value business outcomes.
“ServiceNow is leading the future of work by creating great experiences for businesses,” said Jeff Hausman, VP and GM of IT Operations Management, Security, and CMDB, ServiceNow.
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
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 ...