Avoid the Machine Learning Hype – Casey Kindiger – Ep151

Tech Interviews

The entire way we look at delivering IT in the enterprise is changing, the environment we operate in, the operational expectation of our business, how we interact with customers, the speed with which we can react to change are all demanding new ways of architecting and operating our IT systems. Of course, this has led to rapid innovations across enterprise technology from the adoption of the cloud, the way we deliver applications (Kubernetes for example) through to the increasing use of artificial intelligence (AI) and machine learning (ML) to a point where all of these are now common conversations around the technologist's table. The innovations have led to new views of how we see operations as increasingly we adopt DevOps, SecOps, DataOps and of course AIOps. The risk of course with this kind of shift is hype, getting wrapped up with the excitement but finding our changes never really delivered value. How do we avoid that trap and ensure if we are going to use more intelligence and analytics in our operations, we avoid the hype and deliver maximum benefit? That is the topic of this week's show with my guest Casey Kindiger, CEO at Grokstream. Join us as we discuss. What is AIOPS? Pavlov's Dog and IT Ops. Rules-based approaches must change. What is driving change? Wasting quality data! Can't we just throw machine learning at it? It's a cultural shift. Tips for doing AIOPS well. Avoiding the traps. About Grokstream. There is no doubt that analytics and AI, if they are not already, are going to be a daily part of enterprise IT and Casey provided wide-ranging insight into, what for me, is a fascinating topic and I hope you got plenty from it. If you have an idea for a show or would like to be a guest, email [e-mail] and to catch the next episode why not subscribe. Thanks for listening. Full show notes are here: https://wp.me/p4IvtA-1PK