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New IBM Cloud Offering To Improve IT Service Desk Operations

Tivoli Live - service manager offered as monthly subscription

IBM has introduced new online software services based on the same on-premise solutions used by clients today – now delivered as a monthly subscription offering - that enables better automation and control of IT Service Desk functions. This new service adds to IBM's software-as-a-service offerings that help automate a range of IT services critical to maintaining business operations.

To help meet the demand of automating IT functions, IBM Tivoli Live - service manager allows clients to start with IT Service Desk functionality, for instance, and grow into more extensive IT automation services as a company's needs change -- such as change management, asset management and other IT management areas.

Since Tivoli Live - service manager is delivered on the IBM Cloud and based on a subscription model, the service reduces the upfront capital investment, complexity and management required by on-premise deployment. There is no need to purchase hardware, software licenses or engage in extensive software configuration. The service is based on a common platform and architecture that thousands of IBM clients use today as on-premise software. Unlike competitors, IBM offers flexible delivery options in the form of on-premise software and software-as-a-service that allows the customers to evolve from one to the other as their business needs change, or use them simultaneously in combination with one another for different IBM solutions.

"IBM gives clients the choice to rent, buy or 'mix and match' our software for automating IT," said Al Zollar, General Manager, IBM Tivoli. "With today's news, IBM lets clients solve their service management issues with a quick and easy on-ramp that also provides a pathway to greater enterprise IT automation down the road -- without lock in."

IBM's Tivoli Live - service manager provides a portfolio of automated functions for IT service management. For example, when a manager onboards a new employee, an online service catalog helps the manager set up the employee's items such as an office space, laptop, network access, email identification, etc. If an employee inquires about a down database the service agent can quickly understand the business impact using the application topology and appropriately assign priority to the trouble ticket. This improves response time, resource allocation and data availability.

IBM's Tivoli Live - service manager includes the following:

* Incident and problem management: Helps automate and manage service desk operations and provide quick resolutions to requests such as laptop problems and other requests. Knowledge management capabilities takes the strategies and best practices of individuals or organizational processes to help meet business objectives such as improving performance, gaining competitive advantage, sharing lessons learned, and better integration within the company.

* IT asset management: Manages the lifecycle of IT assets, including software and hardware such as servers, networking equipment, laptops, etc. This feature streamlines the process and improves the control of managing these assets. As a result, accountability of inventory is increased to ensure compliance and provide better performance for users. Risk is also reduced through standardization, proper documentation and loss detection.

* Service catalog: Provides users with a single portal for requesting standard IT and non-IT services such as requesting a new laptop, change in benefits, resetting passwords, adding or removing an employee to a department, resetting printer toner, etc. Built-in tools enable capabilities to create and publish service offerings in the portal and define manual or automated request fulfillment plans.

* Change, configuration and release management: Provides comprehensive change management capabilities to manage system configuration change requests from the initial request to the final review.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

New IBM Cloud Offering To Improve IT Service Desk Operations

Tivoli Live - service manager offered as monthly subscription

IBM has introduced new online software services based on the same on-premise solutions used by clients today – now delivered as a monthly subscription offering - that enables better automation and control of IT Service Desk functions. This new service adds to IBM's software-as-a-service offerings that help automate a range of IT services critical to maintaining business operations.

To help meet the demand of automating IT functions, IBM Tivoli Live - service manager allows clients to start with IT Service Desk functionality, for instance, and grow into more extensive IT automation services as a company's needs change -- such as change management, asset management and other IT management areas.

Since Tivoli Live - service manager is delivered on the IBM Cloud and based on a subscription model, the service reduces the upfront capital investment, complexity and management required by on-premise deployment. There is no need to purchase hardware, software licenses or engage in extensive software configuration. The service is based on a common platform and architecture that thousands of IBM clients use today as on-premise software. Unlike competitors, IBM offers flexible delivery options in the form of on-premise software and software-as-a-service that allows the customers to evolve from one to the other as their business needs change, or use them simultaneously in combination with one another for different IBM solutions.

"IBM gives clients the choice to rent, buy or 'mix and match' our software for automating IT," said Al Zollar, General Manager, IBM Tivoli. "With today's news, IBM lets clients solve their service management issues with a quick and easy on-ramp that also provides a pathway to greater enterprise IT automation down the road -- without lock in."

IBM's Tivoli Live - service manager provides a portfolio of automated functions for IT service management. For example, when a manager onboards a new employee, an online service catalog helps the manager set up the employee's items such as an office space, laptop, network access, email identification, etc. If an employee inquires about a down database the service agent can quickly understand the business impact using the application topology and appropriately assign priority to the trouble ticket. This improves response time, resource allocation and data availability.

IBM's Tivoli Live - service manager includes the following:

* Incident and problem management: Helps automate and manage service desk operations and provide quick resolutions to requests such as laptop problems and other requests. Knowledge management capabilities takes the strategies and best practices of individuals or organizational processes to help meet business objectives such as improving performance, gaining competitive advantage, sharing lessons learned, and better integration within the company.

* IT asset management: Manages the lifecycle of IT assets, including software and hardware such as servers, networking equipment, laptops, etc. This feature streamlines the process and improves the control of managing these assets. As a result, accountability of inventory is increased to ensure compliance and provide better performance for users. Risk is also reduced through standardization, proper documentation and loss detection.

* Service catalog: Provides users with a single portal for requesting standard IT and non-IT services such as requesting a new laptop, change in benefits, resetting passwords, adding or removing an employee to a department, resetting printer toner, etc. Built-in tools enable capabilities to create and publish service offerings in the portal and define manual or automated request fulfillment plans.

* Change, configuration and release management: Provides comprehensive change management capabilities to manage system configuration change requests from the initial request to the final review.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...