2023 Application Performance Management Predictions - Part 6

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 6 covers more on AIOps.

Start with: 2023 Application Performance Management Predictions - Part 1

Start with: 2023 Application Performance Management Predictions - Part 2

Start with: 2023 Application Performance Management Predictions - Part 3

Start with: 2023 Application Performance Management Predictions - Part 4

Start with: 2023 Application Performance Management Predictions - Part 5

NEW BUSINESS-ALIGNED APPROACH TO AIOPS

IT organizations will continue to shift from a technology-focused approach for IT operations management and AIOps to more of a solution and process-focused approach in the coming year. Historically, many IT teams focused on extensive and time-consuming point product side-by-side comparison matrixes try to guess which algorithm is the biggest and fastest and then worried about how to implement that tool with their processes later. The new business-aligned approach will think about current and future process implementation at the same time to improve automated problem detection and remediation.
Matt Gowarty
Senior Manager, Product Marketing, IT Operations Management, ServiceNow

GROWTH OF SAAS AIOPS

Enterprises have realized there is no one master observability tool they can depend on. They are sitting on heaps of observability data which can be used to predict outages and help operations teams triage the right issues while reducing false alerts. Despite there being multiple tools to use for correlations, the introduction of full-stack observability APM tools with AI/ML techniques to predict and triage issues will help in reducing downtime and aid in better planning for technology updates. As adoption continues, we anticipate further growth of SaaS AIOps solutions, making them more widely accessible and available to small- to medium-size businesses.
George Thangadurai
CEO, HEAL Software

AIOPS ENABLES PLATFORMOPS

IT organizations will start implementing PlatformOps for everything from observability, DevOps, SecOps, ServiceOps, and analytics — to glue together all the different use cases demanded by various stakeholder teams in business, technology, compliance, security, etc. AIOps platforms will be a key enabler for implementing the enterprise PlatformOps technology stack.
Srini Miriyala
Marketing & Business Development, APAC, CloudFabrix

EVENT CORRELATION AND AIOPS

Event Correlation and AIOps adoption will increase in 2023. With applications becoming wholly cloud-native, organizations are adopting a microservices-based architecture for their business efficiency. This system relies heavily on a complex underlying infrastructure, which increases the influx of events — telemetry data. It will be next to impossible to manually ascertain operational and security pitfalls, thus expanding the scope for mainstream adoption of event correlation and AIOps.
Srinivasa Raghavan
Director of Product Management at Site24x7 and ManageEngine

PRODUCTION AIOPS ENVIRONMENTS MIGRATE TO KUBERNETES

After hearing the buzzword AIOps circling for so long, it's exciting to finally see some of the first (small) successes, after years of promise. This is in large part thanks to the standardization we are seeing in the industry around widely adopted technologies like Kubernetes (that have become an industry standard for many disciplines, including AI). I believe production environments for AIOps are going to migrate to Kubernetes, which will be a real game changer for real-time analytics and ops.
Itiel Shwartz
CTO and Co-Founder, Komodor

ENTERPRISES COMBAT IT SKILLS CRUNCH WITH AIOPS

Amidst an ever-growing IT skills gap, enterprises are crunched for talent, while juggling budget cuts, heightened productivity KPIs and a lack of qualified talent. In 2023, enterprises will rely on AIOps driven-automation to bridge the gap and enable them to deliver autonomous workspaces, simplifying IT administration and reducing dependency on skilled IT labor. Enterprises will increasingly lean on Unified Endpoint Management (UEM) to automate workflows to eliminate manual intervention across device management, security and user-experience. In addition, UEM solutions will leverage AIOps for data-driven automation with proactive detection and remediation of device performance and other manual processes.
Mathivanan Venkatachalam
Vice President, ManageEngine

AIOPS DISAPPOINTS

AIOps will continue to disappoint as a broad solution that can automagically detect and resolve IT issues. AIOps, when utilized correctly and in the correct places, can be immensely helpful by allowing for the analysis of significant quantities of data and identification of patterns that a human is likely to miss. However, the idea that AIOps will be able to detect all (or even almost all) issues, identify the root cause, develop a remediation plan, and then implement that plan is unrealistic. Networks (and associated environments) are simply too complicated and unique for any tool to be able to work across broad swaths of organizations. Instead AIOps tools will continue to excel in narrowly focused areas where they are doing things such as analyzing the huge quantities of data organizations currently collect and identifying specific anomalies that can then be addressed in specific ways through either automation or human intervention.
Josh Chessman
VP, Strategy & Innovation, Netreo

Go to: 2023 Application Performance Management Predictions - Part 7, covering the user experience.

Related Links

Hot Topics

The Latest

Observability Costs Rising Faster Than Value

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Customers Demand Frictionless Experiences - This Is How Retailers Can Provide Them

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

IT's Motivation Crisis Is Really a Process Crisis

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

AI Now Interacts With Production Databases in 96.5% of Organizations as Governance Automation Lags

In a 2026 survey conducted by Liquibase, the research found that 96.5% of organizations reported at least one AI or LLM interaction with their production databases, often through analytics and reporting, training pipelines, internal copilots, and AI generated SQL. Only a small fraction reported no interaction at all. That means the database is no longer a downstream system that AI "might" reach later. AI is already there ...

From Fragmented Systems to Intelligent Platforms: An ITIL+ Playbook for Enterprise IT Transformation

In many organizations, IT still operates as a reactive service provider. Systems are managed through fragmented tools, teams focus heavily on operational metrics, and business leaders often see IT as a necessary cost center rather than a strategic partner. Even well-run ITIL environments can struggle to bridge the gap between operational excellence and business impact. This is where the concept of ITIL+ comes in ...

UK Organizations Hit Observability Breaking Point

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

At the Edge, Performance Visibility Becomes a Reliability Requirement

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

Why Revenue Data Governance Is Now the CIO's Responsibility

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Beyond 2026: How 5G, Metaverse, and Edge AI Will Redefine Secure Remote Access

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Why IT Has Become the Proving Ground for Enterprise AI

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

2023 Application Performance Management Predictions - Part 6

Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry and related technologies will evolve and impact business in 2023. Part 6 covers more on AIOps.

Start with: 2023 Application Performance Management Predictions - Part 1

Start with: 2023 Application Performance Management Predictions - Part 2

Start with: 2023 Application Performance Management Predictions - Part 3

Start with: 2023 Application Performance Management Predictions - Part 4

Start with: 2023 Application Performance Management Predictions - Part 5

NEW BUSINESS-ALIGNED APPROACH TO AIOPS

IT organizations will continue to shift from a technology-focused approach for IT operations management and AIOps to more of a solution and process-focused approach in the coming year. Historically, many IT teams focused on extensive and time-consuming point product side-by-side comparison matrixes try to guess which algorithm is the biggest and fastest and then worried about how to implement that tool with their processes later. The new business-aligned approach will think about current and future process implementation at the same time to improve automated problem detection and remediation.
Matt Gowarty
Senior Manager, Product Marketing, IT Operations Management, ServiceNow

GROWTH OF SAAS AIOPS

Enterprises have realized there is no one master observability tool they can depend on. They are sitting on heaps of observability data which can be used to predict outages and help operations teams triage the right issues while reducing false alerts. Despite there being multiple tools to use for correlations, the introduction of full-stack observability APM tools with AI/ML techniques to predict and triage issues will help in reducing downtime and aid in better planning for technology updates. As adoption continues, we anticipate further growth of SaaS AIOps solutions, making them more widely accessible and available to small- to medium-size businesses.
George Thangadurai
CEO, HEAL Software

AIOPS ENABLES PLATFORMOPS

IT organizations will start implementing PlatformOps for everything from observability, DevOps, SecOps, ServiceOps, and analytics — to glue together all the different use cases demanded by various stakeholder teams in business, technology, compliance, security, etc. AIOps platforms will be a key enabler for implementing the enterprise PlatformOps technology stack.
Srini Miriyala
Marketing & Business Development, APAC, CloudFabrix

EVENT CORRELATION AND AIOPS

Event Correlation and AIOps adoption will increase in 2023. With applications becoming wholly cloud-native, organizations are adopting a microservices-based architecture for their business efficiency. This system relies heavily on a complex underlying infrastructure, which increases the influx of events — telemetry data. It will be next to impossible to manually ascertain operational and security pitfalls, thus expanding the scope for mainstream adoption of event correlation and AIOps.
Srinivasa Raghavan
Director of Product Management at Site24x7 and ManageEngine

PRODUCTION AIOPS ENVIRONMENTS MIGRATE TO KUBERNETES

After hearing the buzzword AIOps circling for so long, it's exciting to finally see some of the first (small) successes, after years of promise. This is in large part thanks to the standardization we are seeing in the industry around widely adopted technologies like Kubernetes (that have become an industry standard for many disciplines, including AI). I believe production environments for AIOps are going to migrate to Kubernetes, which will be a real game changer for real-time analytics and ops.
Itiel Shwartz
CTO and Co-Founder, Komodor

ENTERPRISES COMBAT IT SKILLS CRUNCH WITH AIOPS

Amidst an ever-growing IT skills gap, enterprises are crunched for talent, while juggling budget cuts, heightened productivity KPIs and a lack of qualified talent. In 2023, enterprises will rely on AIOps driven-automation to bridge the gap and enable them to deliver autonomous workspaces, simplifying IT administration and reducing dependency on skilled IT labor. Enterprises will increasingly lean on Unified Endpoint Management (UEM) to automate workflows to eliminate manual intervention across device management, security and user-experience. In addition, UEM solutions will leverage AIOps for data-driven automation with proactive detection and remediation of device performance and other manual processes.
Mathivanan Venkatachalam
Vice President, ManageEngine

AIOPS DISAPPOINTS

AIOps will continue to disappoint as a broad solution that can automagically detect and resolve IT issues. AIOps, when utilized correctly and in the correct places, can be immensely helpful by allowing for the analysis of significant quantities of data and identification of patterns that a human is likely to miss. However, the idea that AIOps will be able to detect all (or even almost all) issues, identify the root cause, develop a remediation plan, and then implement that plan is unrealistic. Networks (and associated environments) are simply too complicated and unique for any tool to be able to work across broad swaths of organizations. Instead AIOps tools will continue to excel in narrowly focused areas where they are doing things such as analyzing the huge quantities of data organizations currently collect and identifying specific anomalies that can then be addressed in specific ways through either automation or human intervention.
Josh Chessman
VP, Strategy & Innovation, Netreo

Go to: 2023 Application Performance Management Predictions - Part 7, covering the user experience.

Related Links

Hot Topics

The Latest

Observability Costs Rising Faster Than Value

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Customers Demand Frictionless Experiences - This Is How Retailers Can Provide Them

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

IT's Motivation Crisis Is Really a Process Crisis

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

AI Now Interacts With Production Databases in 96.5% of Organizations as Governance Automation Lags

In a 2026 survey conducted by Liquibase, the research found that 96.5% of organizations reported at least one AI or LLM interaction with their production databases, often through analytics and reporting, training pipelines, internal copilots, and AI generated SQL. Only a small fraction reported no interaction at all. That means the database is no longer a downstream system that AI "might" reach later. AI is already there ...

From Fragmented Systems to Intelligent Platforms: An ITIL+ Playbook for Enterprise IT Transformation

In many organizations, IT still operates as a reactive service provider. Systems are managed through fragmented tools, teams focus heavily on operational metrics, and business leaders often see IT as a necessary cost center rather than a strategic partner. Even well-run ITIL environments can struggle to bridge the gap between operational excellence and business impact. This is where the concept of ITIL+ comes in ...

UK Organizations Hit Observability Breaking Point

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

At the Edge, Performance Visibility Becomes a Reliability Requirement

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

Why Revenue Data Governance Is Now the CIO's Responsibility

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Beyond 2026: How 5G, Metaverse, and Edge AI Will Redefine Secure Remote Access

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Why IT Has Become the Proving Ground for Enterprise AI

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...