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Ivanti Neurons for IT Service and Asset Management Released

Ivanti announced Ivanti Neurons for IT Service Management (ITSM) and Ivanti Neurons for IT Asset Management (ITAM), delivering on its mission to enable the Everywhere Workplace.

Ivanti Neurons for ITSM empowers service desk analysts and end users with “Interactive Neurons” for pre-ticket automation, resulting in reduced ticket volumes into the service desk, and post-ticket automation for higher accuracy, improved mean time to remediation and optimal personalized experiences. And Ivanti Neurons for ITAM provides IT teams with a comprehensive picture of IT assets from cloud to edge, which is more important in the new remote work environment than ever before.

The pandemic has catalyzed a monumental shift in where and how people work. In the “Everywhere Workplace,” employees use myriad devices to access enterprise applications and data over various networks to stay productive as they work from anywhere. And these employees require immediate and personalized resolutions for IT issues impacting their ability to remain productive, regardless of where they are working or what devices they are using. As a result, companies across all industries need to automate their service desks and IT operations. With these latest innovations, Ivanti is meeting market demand and empowering customers with greater visibility, in real time, to actionable information across devices, infrastructure and users to improve the accuracy, speed and efficiency of services delivered.

Ivanti Neurons for ITSM leverages automation bots to proactively detect and resolve issues, resulting in improved employee experiences and reduced help desk ticket volumes. Automation bots proactively identify issues and interact with users in their channel of choice to provide the most personalized and contextualized resolutions. And Ivanti Neurons for ITAM brings all hardware, software, server, client, virtual and cloud asset activities together, enabling customers to manage them in one place. By tracking availability and performance, organizations can optimize use and performance of IT assets, reducing costs and increasing productivity.

“Through real-time, pre-ticket and post-ticket automation, we’re empowering IT teams to proactively manage, secure and service users, devices, and data – all while enabling employees to deliver peak performance from wherever they are. We are transforming service management and paving the way to a truly self-healing future.” said Nayaki Nayyar, President, Service Management Solutions Group and Chief Product Officer, Ivanti.

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 ...

Ivanti Neurons for IT Service and Asset Management Released

Ivanti announced Ivanti Neurons for IT Service Management (ITSM) and Ivanti Neurons for IT Asset Management (ITAM), delivering on its mission to enable the Everywhere Workplace.

Ivanti Neurons for ITSM empowers service desk analysts and end users with “Interactive Neurons” for pre-ticket automation, resulting in reduced ticket volumes into the service desk, and post-ticket automation for higher accuracy, improved mean time to remediation and optimal personalized experiences. And Ivanti Neurons for ITAM provides IT teams with a comprehensive picture of IT assets from cloud to edge, which is more important in the new remote work environment than ever before.

The pandemic has catalyzed a monumental shift in where and how people work. In the “Everywhere Workplace,” employees use myriad devices to access enterprise applications and data over various networks to stay productive as they work from anywhere. And these employees require immediate and personalized resolutions for IT issues impacting their ability to remain productive, regardless of where they are working or what devices they are using. As a result, companies across all industries need to automate their service desks and IT operations. With these latest innovations, Ivanti is meeting market demand and empowering customers with greater visibility, in real time, to actionable information across devices, infrastructure and users to improve the accuracy, speed and efficiency of services delivered.

Ivanti Neurons for ITSM leverages automation bots to proactively detect and resolve issues, resulting in improved employee experiences and reduced help desk ticket volumes. Automation bots proactively identify issues and interact with users in their channel of choice to provide the most personalized and contextualized resolutions. And Ivanti Neurons for ITAM brings all hardware, software, server, client, virtual and cloud asset activities together, enabling customers to manage them in one place. By tracking availability and performance, organizations can optimize use and performance of IT assets, reducing costs and increasing productivity.

“Through real-time, pre-ticket and post-ticket automation, we’re empowering IT teams to proactively manage, secure and service users, devices, and data – all while enabling employees to deliver peak performance from wherever they are. We are transforming service management and paving the way to a truly self-healing future.” said Nayaki Nayyar, President, Service Management Solutions Group and Chief Product Officer, Ivanti.

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 ...