Windward Insights

AIOps - Riding the Tech Wave Towards Future IT Integrations

Published
Written by Ceara Hickerson

Insights from AIOps Evolution Weekly | Episode 2

The latest AIOps Evolution Weekly Episode dives into where the term “AIOps” came from, what does it really means, and other philosophical tech ruminations like where AIOps is heading in the future.

Topics on AIOps integration included:

  1. How AIOps revolutionizes businesses for better productivity and ROI
  2. AIOps: Past, Present and Future AI Integrations

Let’s take a deeper dive into the article topics and the takeaways from Bill and Sean.

Topic 1: AIOps revolutionizes businesses for better productivity and ROI

Article: Survey: AIOps-driven network management can make your business run better

By: Shamus McGillicuddy, Research Director for the network management practice at Enterprise Management Associates

Enterprise Management Associates (EMA) published “Revolutionizing Network Management with AIOps”. The report found that 90% of the surveyed networking pros (309) believe applying AIOps to network management can lead to better business outcomes for an overall enterprise. In short, AIOps-driven network management can help a business run better. It translates into better employee productivity, improved customer experience, and revenue generation. But how exactly does AIOps enable this boost to the business?

Network management benefits

The EMA survey respondents identified the top benefits of AIOps-driven network management in the following order:

  • Network optimization
  • Operational efficiency
  • Improved security/compliance
  • Network resilience
  • Cost reduction

Optimizing Existing Toolsets

According to the survey, about 91% of respondents are hoping that AIOps can address problems with their tools, including preventing conflicting or inaccurate data, prioritizing real-time insights, and eliminating tool fragmentation.

Gentle reminder: Don’t expect AIOps to fix all “tool problems”

Networking pros should not expect AIOps to be the “magic toolbox” that fixes all problems. Most respondents who had successful AIOps implementations reported that their AIOps interest was not driven by network management tool problems.

This suggests that successful users of AIOps are focused on transforming network engineering and operations, rather than addressing challenges with their network management tools.

Sean and Bill’s Take

  • Sean and Bill both noted that the EMA study makes it sound like 90% of enterprises are using AIOps; it’s more like the vast majority (90%) of companies are only investigating AIOps as a potential solution, in their experience
  • The reality is that roughly 10-15% of Windward clients are actively implementing AIOps
  • The article touches on the “tech tale as old as time”: If a vendor had functionality where we could marry their solution with other tools and build AI around that, it would be useful. Vendors should look for ways to consolidate panes of glass with other tools, either through acquisition or ingesting and sharing data.
  • Vendors have changed. The use cases have changed, but the argument is still the same. And you could make arguments on either side that, well, are these large vendors who have to go wide in order to continue to drive the massive amount of revenues that they have. Do they start to innovate through acquisition or do they actually continue to build and innovate internally on these technologies?
  • CONCLUSION: In the next few years, the AIOps market may double or triple with more products and features touted from side companies, but those will most likely be absorbed into larger enterprises like ServiceNow or IBM.

Topic 2: AIOps – How we got here and where we’re heading with AI integrations

Article: Understanding AIOps: History, Uses, and Future

By: James Maguire, Editor-in-Chief at eWeek

The irony of our technological advancement as humans is that we have created systems that are so complex, especially in the IT domain, that we are overwhelmed. With cloud computing ever-expanding, data analytics superseded by real-time streaming data, hackers galore, and budget constraints, IT managers and department heads are crying out for help! The answer has come in the form of artificial intelligence (AI) for IT operations – or AIOps. But how did we get to AIOps, how do we use them and what is in store for us and AIOps in the future?

What is AIOps: Gartner Coins an (Awkward) Term

Although humans created IT systems that have overwhelmed us, we have also been advancing in creating a secondary system to help manage the original IT system. This secondary system has many names (AI for IT Operations, MLOps, etc), but the one that stuck, AIOps, was originally coined by Gartner in 2017.

The Uses of AIOps

The challenge of many IT systems is not having enough oversight or foresight to make predictive analyses and decisions on how to protect the current IT infrastructure.

AIOps fills in those gaps in knowledge; it provides predictive, problem-solving approaches to enable proactive reaction.

Top use cases among companies include the following:

  • Predictive Alerting
  • Root Cause Analysis
  • Prioritizing Events
  • Predictive Outages
  • Service Desk Ticketing

The Future of AIOps – Two Shifts

Although AIOps is in a nascent stage of adoption, experts and analysts are predicting exponential growth in this market sector within the next 5-10 years.

  • Exponential increase in AIOps
    • AIOps will leverage more and more AI going forward, exponentially expanding the support it offers to IT systems
    • Companies that don’t deploy AIOps may not be able to compete
    • The AIOps market, hovering around $15 billion in 2021, is expected to hit $40 billion by 2026.
  • The meaning of AIOps will change
    • As it becomes more commonplace, the term AI will drop from the AIOps; it will simply be part of “operations”
    • Companies will choose AIOps systems that will scale on multiple levels in the long-term

Sean and Bill’s Take

  • One highlight of the article is some of the philosophy behind AIOps – Simple tasks done manually can really add up as systems become more complex. AIOps is the strategy that conglomerates all of that and simplifies these massive tasks and events.
  • The use cases for AIOps are exactly the same as they have been for the last 20 years, but the infrastructure has gotten much more complex.
  • While we focus on AI for IT Operations (AIOps), it will converge with other systems and departments in enterprises. AIOps / IT Operations personnel should be looking into this for the rest of the CIO organization.
  • For AIOps to work well, we have got to really define and understand the problem. Then you can decide what’s the best use of technology to solve it.

Catch the full details from AIOps Evolution Weekly