Nothing’s worse than getting a call from the users that the network is down. Too often, IT lacks the visibility they need to get before performance issues arise, meaning you’re in the dark until a user or customer calls to complain. Once an outage happens, the clock is ticking. And the more time you take to understand and resolve the issue, the more it costs you: in terms of customer dissatisfaction, and also staff time & lost productivity.

As an IT leader, it’s important to step back, sometimes, and view what you can do better with your service desk. Because small issues and inefficiencies can easily add up to day-to-day chaos. In organizations where IT services are aligned with business objectives, they are more likely to make investments in new technologies like AI & ML. Periodic reviews will make sure that the alignment stays. Here we are going to look at some areas where putting efforts can yield significant result.

AI Ops is about enabling developers, program managers, service engineers, website reliability engineers etc. to efficiently build as well as run online services or applications at scale with AI & ML techniques. AI Ops is expected to help improve service quality. customer satisfaction, enhance technology productivity, and reduce cost. With hype all around the world regarding artificial intelligence, IT leaders are sceptical whether it will actually be useful to them or will it add to their costs.

A service desk is the nerve center for all activities related to IT service delivery. It’s at the forefront of all interactions an organization has with its requesters. Implementing a service desk involves processes, workflows, and domain knowledge. That’s why most people stick to a framework when setting up a service desk. Learn more about the most popular ITSM framework. A service desk comes with numerous challenges that can be overcome if you are aware of the best practices.