What are the applications of Machine Learning when it comes
to IT service management?
The service desk acts as the “go-to” place for all IT-related needs and issues, typically managing incidents or service disruptions, requests, and changes. The service desk scope of work can be enormous and wide-ranging, depending on the nature and size of the organisation in question. As a critical function used by employees across a company, it needs to be managed appropriately.
sufficient time on value-added business activities or initiatives due to interruptions with day-to-day support-related issues. This resulted in misleading or incorrect manual entries into a problem log, which caused misinformed decision-making. With managers inundated with work, it’s easy for them to accidentally become the victim of manual or human errors.
With IT environments changing at an accelerating rate, it’s crucial IT service desks adopt emerging
Technology has upended the way business is done across all industries around the world. At the same time, traditional IT service management (ITSM) solutions have become inefficient in maintaining customer satisfaction levels and meeting increasing customer expectations in a fast-paced digital world.
According to the SolarWinds® IT Trends Report 2019: Skills for Tech Pros of Tomorrow, 79 percent of IT managers weren’t able to spend
The Role of Machine Learning in IT service Management
by Steve Stover