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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

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...

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

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...