IBM’s Dinesh Nirmal On Turbonomic Deal, AI’s Obstacles, And How Partners Are ‘Huge’ In Big Blue’s Business Automation Strategy
Wade Tyler Millward
‘I would say our channel partners have been an amazing help from a skills perspective, from an education perspective, from being able to tell our story,’ Dinesh Nirmal, general manager of IBM’s automation business, tells CRN in an interview.
Why did IBM make this acquisition?
When we look at our software strategy, we have four pillars all built on Red Hat OpenShift. One is obviously the data and AI piece. Then we have automation, security, and AI ops.
When I look at automation, every enterprise has their line of business and IT. And automating the line of business and IT becomes very critical. And automation really enables it because you want to bring both of those together. And that’s why we’re building an automation platform, rather than just giving them RPA (robotic process automation) or process mining or app integration, we really want to bring every aspect of automation under one umbrella on a single platform built on Red Hat OpenShift.
We did the WDG acquisition for RPA last year. We did MyInvenio for process mining. So we have workflow, we have RPA, we have process mining, we have document processing, and we have decisions. And that really puts us in a place where a line of business has one place to go for all capabilities.
Now, there’s the observability piece, and we decided to go with Instrada because its cloud-native, microservice architecture runs on cloud and hybrid cloud. Perfect fit for us. And our goal is to bring observability across lines of business and IT.
Now, the next step for us is how do we make observability actionable? Using intelligence, or AI, so that’s where AIOps comes in. You have observability, now we can make it actionable using Turbonomic, and we will add AI using AIOps on top of it. That’s the high-level plan -- line-of-business and IT personas together under one umbrella on an automation platform built on Red Hat OpenShift.