The latest News and Information on AIOps, alerting in complex systems and related technologies.
In the evolving world of IT monitoring, I see that many organizations want to move to predictive monitoring. They usually allocate a significant budget for this type of effort that ultimately fails to yield the desired return on investment. Often, organizations are already collecting and processing large amounts of IT telemetry streams and using multiple solutions to monitor their systems. So, predictive monitoring seems like the logical next step.
Artificial intelligence for IT operations (AIOps) means a lot of different things to a lot of different people, so a definition of what it is and what it does is difficult to nail down. In an age where digital acceleration is priority zero, companies are evaluating cultural shifts towards new operating models like service ownership to unlock efficiency in a complex world of hybrid cloud environments, AIOps emerges as an attractive potential investment to solve central IT aches and pains.
Today, network automation has shifted from nice-to-have to must-have. Automating key NOC processes (ranging from simple to complex) offers a wide range of benefits. But don't take my word for it — the ROI numbers speak for themselves.
Gartner recently released their top strategic technology trends for 2021. It’s no surprise that these trends reflect what many of us and our organizations have been experiencing, dealing with ongoing challenges during this global pandemic.
Many AIOps initiatives experience difficulties due to unrealistic expectations and a lack of a clear AIOps strategy. What is the reality beyond the AI hype, and how do we make these initiatives a success? Join us in this CTO Perspective discussion with Jason Walker, Field CTO at BigPanda, to find out.
