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2021 Application Performance Management Predictions - Part 6

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 6, the final installment in the series, covers ITSM.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

Start with: 2021 Application Performance Management Predictions - Part 4

Start with: 2021 Application Performance Management Predictions - Part 5

FOCUS ON BUSINESS CONTINUITY

Business continuity and operational risk management interest takes precedence. It is not a question of "if," but rather "when" a disaster will strike. Responding to an incident in crisis mode without the benefit of planning, coordination, and testing can result in more downtime, higher recovery costs and times, a potential negative impact on brand and reputation, and business loss. In 2021, with the continued impact of COVID, we are likely to see even more interest from businesses, customers and investors regarding operational risk management, business continuity, and resiliency.
Anne Hardy
CISO, Talend

IMPROVED ITSM GUI AND DASHBOARDS

A common trend among IT Central Station ITSM reviews in 2020 was the lack of user-friendly interfaces. I therefore foresee vendors investing in the improvement of their GUIs and dashboards to enhance the user experience.
Russell Rothstein
Founder and CEO, IT Central Station

SELF-SERVICE ITSM

AI/ML assisted self-service whether through chat bots, virtual assistants, or purpose-built portals will become the channel of choice for offering or receiving help and information. On the enterprise side, the stunning cost savings make it a no-brainer. But customers and employees choose it as well. No surprise here. People like getting what they want or need, when they want or need it, in the way they want to seek it.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

In reaction to the pandemic, more and more organizations will bring in internal IT teams, and utilize self-service models and SaaS platforms to reduce the dependencies on external resources.
Ali Siddiqui
CPO, BMC Software

In 2021, chatbots powered with AI will begin to eliminate the "front-line" support analyst as the human ITSM analyst will be replaced with self-service portals and intelligent chatbots. Analysts will shift their focus to major incidents (one-to-many), problem management, and change management. Over the next 3-5 years, human involvement for most ITIL processes will be decreased because of improved machine learning and automation capabilities. We will see the traditional IT analysts become much more focused on business objectives versus IT tasks.
Marcel Shaw
Principal Federal Solutions Architect, Ivanti

Self-Serve Analytics will ramp up in 2021. As the pandemic continues in 2021, companies will look to further reduce dependencies on IT functions with self-serve analytics. This will help them turn data into valuable, shareable assets more quickly. Remote workforces and online expansions are draining IT resources. Automated data preparation, curation, stewardship, quality controls, and machine learning tools will help to stem the tide of IT demands.
Krishna Tamman
CTO, Talend

ENTERPRISE SERVICE MANAGEMENT

The use of ITSM people, processes, and products in support of non-IT functions such as HR and facilities will become the norm. In a world where people will complain about the mustard at a free lunch, EMA research yields an absolutely unambiguous endorsement of ESM. It has universally positive outcomes. C-level keepers of the budget will fund these initiatives without hesitation.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

As organizations have adjusted to the realities of remote work and adapting to manual tasks which result in decreased productivity, businesses are scaling and deploying ITSM solutions, leading to an increase in operational complexity to support the diverse needs of users and IT environments. To help reduce this complexity, and deliver an amazing employee experience organizations will look to enterprise service management solutions as a way to adopt processes that drive digital transformation. With AI service management, businesses can leverage hyper-automation and operations automation to increase productivity across the organization. Enterprise service management is the natural evolution to ITSM and will help businesses evolve into autonomous digital enterprises.
Ali Siddiqui
CPO, BMC Software

CMDB/CMS GETS NEW LIFE

It's back to the future as old ideas get new life in new use cases. CMDB/CMS will get a brand refresh for its critical role in delivering the service modeling that AIOps requires. With digital transformation in overdrive, service modeling and effective change management are center stage. CMDB/CMS in combination with discovery and dependency mapping (DDM) will be re-imagined and shaped to new use cases that power service excellence and cost-cutting initiatives.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

IOT PERFORMANCE IMPROVES

Adoption of IoT use cases under the umbrella of "edge computing" will accelerate standardization of operating system and application components, greatly improving performance, monitoring, and reliability of IoT solutions.
Jered Floyd
Technology Strategist, Office of the CTO, Red Hat

Check back after the Holidays for 2 more predictions series, covering NPM and the Cloud.

Hot Topics

The Latest

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

2021 Application Performance Management Predictions - Part 6

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 6, the final installment in the series, covers ITSM.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

Start with: 2021 Application Performance Management Predictions - Part 4

Start with: 2021 Application Performance Management Predictions - Part 5

FOCUS ON BUSINESS CONTINUITY

Business continuity and operational risk management interest takes precedence. It is not a question of "if," but rather "when" a disaster will strike. Responding to an incident in crisis mode without the benefit of planning, coordination, and testing can result in more downtime, higher recovery costs and times, a potential negative impact on brand and reputation, and business loss. In 2021, with the continued impact of COVID, we are likely to see even more interest from businesses, customers and investors regarding operational risk management, business continuity, and resiliency.
Anne Hardy
CISO, Talend

IMPROVED ITSM GUI AND DASHBOARDS

A common trend among IT Central Station ITSM reviews in 2020 was the lack of user-friendly interfaces. I therefore foresee vendors investing in the improvement of their GUIs and dashboards to enhance the user experience.
Russell Rothstein
Founder and CEO, IT Central Station

SELF-SERVICE ITSM

AI/ML assisted self-service whether through chat bots, virtual assistants, or purpose-built portals will become the channel of choice for offering or receiving help and information. On the enterprise side, the stunning cost savings make it a no-brainer. But customers and employees choose it as well. No surprise here. People like getting what they want or need, when they want or need it, in the way they want to seek it.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

In reaction to the pandemic, more and more organizations will bring in internal IT teams, and utilize self-service models and SaaS platforms to reduce the dependencies on external resources.
Ali Siddiqui
CPO, BMC Software

In 2021, chatbots powered with AI will begin to eliminate the "front-line" support analyst as the human ITSM analyst will be replaced with self-service portals and intelligent chatbots. Analysts will shift their focus to major incidents (one-to-many), problem management, and change management. Over the next 3-5 years, human involvement for most ITIL processes will be decreased because of improved machine learning and automation capabilities. We will see the traditional IT analysts become much more focused on business objectives versus IT tasks.
Marcel Shaw
Principal Federal Solutions Architect, Ivanti

Self-Serve Analytics will ramp up in 2021. As the pandemic continues in 2021, companies will look to further reduce dependencies on IT functions with self-serve analytics. This will help them turn data into valuable, shareable assets more quickly. Remote workforces and online expansions are draining IT resources. Automated data preparation, curation, stewardship, quality controls, and machine learning tools will help to stem the tide of IT demands.
Krishna Tamman
CTO, Talend

ENTERPRISE SERVICE MANAGEMENT

The use of ITSM people, processes, and products in support of non-IT functions such as HR and facilities will become the norm. In a world where people will complain about the mustard at a free lunch, EMA research yields an absolutely unambiguous endorsement of ESM. It has universally positive outcomes. C-level keepers of the budget will fund these initiatives without hesitation.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

As organizations have adjusted to the realities of remote work and adapting to manual tasks which result in decreased productivity, businesses are scaling and deploying ITSM solutions, leading to an increase in operational complexity to support the diverse needs of users and IT environments. To help reduce this complexity, and deliver an amazing employee experience organizations will look to enterprise service management solutions as a way to adopt processes that drive digital transformation. With AI service management, businesses can leverage hyper-automation and operations automation to increase productivity across the organization. Enterprise service management is the natural evolution to ITSM and will help businesses evolve into autonomous digital enterprises.
Ali Siddiqui
CPO, BMC Software

CMDB/CMS GETS NEW LIFE

It's back to the future as old ideas get new life in new use cases. CMDB/CMS will get a brand refresh for its critical role in delivering the service modeling that AIOps requires. With digital transformation in overdrive, service modeling and effective change management are center stage. CMDB/CMS in combination with discovery and dependency mapping (DDM) will be re-imagined and shaped to new use cases that power service excellence and cost-cutting initiatives.
Valerie O'Connell
Research Director, Enterprise Management Associates (EMA)

IOT PERFORMANCE IMPROVES

Adoption of IoT use cases under the umbrella of "edge computing" will accelerate standardization of operating system and application components, greatly improving performance, monitoring, and reliability of IoT solutions.
Jered Floyd
Technology Strategist, Office of the CTO, Red Hat

Check back after the Holidays for 2 more predictions series, covering NPM and the Cloud.

Hot Topics

The Latest

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...