The state of IT Operations today is loud, noisy and fragmented. This means that your service desk teams, that may be using ServiceNow, JIRA or other tools, are suffering. Sounds all too familiar, right? We know that the noise and chaos exist, and we know that they cause major headaches for service desk teams. The real question is, can we control it with AIOps? To put it simply, yes, the RIGHT AIOps tools can help.
It’s not just our customers who choose our technology time and again. BigaPanda is also recognised by the industry as an innovator whose cutting edge solutions provide Enterprise IT with both value and innovation. We’ve been named one of the 10 finalists for The MIT Sloan CIO Leadership Award in the MIT Sloan CIO Symposium Innovation Showcase, and one of the 30 Best Companies of 2019 by CIO Bulletin.
A common sentiment among our prospects after they see our demo for the first time is: “That’s it? It can’t be that simple!”. The truth is – yes it can be, and it should be. ML and AI should make IT Ops simpler, and a big part of that is usability. If your ML & AI powered IT Ops tools take months to set up and weeks to learn, and then don’t provide a substantially improved user experience, you’re obviously using the wrong tools.
We’re proud to launch BigPanda’s Future of Monitoring, IT Operations and AIOps survey – a comprehensive, in-depth look at the current state of monitoring and IT Operations, and where the industry is headed.
If you’re part of an IT Ops or NOC team, or if you manage one, you know that overwhelming IT noise is your #1 enemy. Not only does it flood your teams with false-positives, but it also buries critical root-cause events and it makes it hard to proactively detect expensive P1 and P0 outages.
As a Product Manager at BigPanda, I like to stay in touch with our customers on a regular basis. Recently, I visited a customer of ours in Atlanta. As I was getting got out of my rental car in the company’s parking lot, I noticed him pulling in into his small parking space in a very large pickup truck. “Those are some big wheels”, I commented.
