Welcome back! In the previous blog, we discussed with our panelists Carlos Casanova, Forrester principal analyst, and Gowrisankar Chinnayan, who heads product management at ManageEngine, why organizations should adopt AIOps, and the challenges they face.
Let’s start by acknowledging the increasing interest in AI. More enterprises are adopting AI-based solutions as they discover how AI can help manage IT operations. According to Gartner, by 2023, 40% of companies will use AIOps for application and infrastructure monitoring.
This projection led to a talk about the current adoption of AIOps across enterprise operations of all sizes.
The level of investment for small, medium, and large organizations varies, as do the strategies for managing the adoption process.
Small organizations often do not have a sophisticated monitoring space, or an operation center. Due to the high cost, they usually haven’t invested in their ITOM or ITSM space. As for the global organizations, they frequently have invested a massive amount in monitoring, ITOM, and ITSM.
This prompted these questions:
Why are organizations actually doing this?
Is adopting AIOps essential?
The answer is yes. Let’s take a closer look at why businesses are turning to AIOps.
- To obtain better insights: The real-time analysis of streaming data using AIOps provides continuous insights on what’s happening across the IT landscape.
- Environments are becoming more complex: With IT systems continuously growing and evolving, their complexity becomes increasingly difficult to handle. Managing the sheer volume of data generated without the help of AIOps leads to missed alerts or downtime.
- To respond quickly: AIOps collects and analyzes data to forecast future disasters that might impact the availability and performance of IT systems before they occur. IT teams are provided with faster problem-solving capabilities.
AIOps also helps optimize skills and resources. It gives IT teams the time and freedom to experiment, develop, and deliver projects and innovations. AIOps delivers a higher strategic and economic value.
Then, I asked Casanova the most anticipated questions:
How do you see AIOps in the future?
How can it evolve?
What benefits will it bring to the operations teams?
Casanova stated that organizations weren’t going to completely move away from traditional operations for the near future.
Years ago, most organizations that Casanova was consulting with set up entire divisions—an internet division separate from their standard IT division. It was three to four years before these divisions effectively merged. He felt AIOps is headed in that same direction, and that it would ultimately be embraced within normal operations.
Personally, I believe that AIOps is no longer a science project, and it is no longer just a theory. AIOps promises to serve a wide range of needs and use cases in the IT enterprise. Always bear in mind that “AIOps is no longer a luxury; today, it’s a vital and essential component.”
With the future of AIOps discussed, we came to the end of the discussion. I hope you had an interesting read. See you soon!
