This can help determine when more coverage is needed to maintain service levels.
Leaps and bounds in the journey
ML, while being versatile as-is, demonstrates some critical applications when it comes to ITSM. Increasingly, organisations are taking leaps and bounds in their digital journeys, and it is only right their IT services evolve with them.
Now is a critical time for the Information Technology service management industry. The market is growing at a double-digit figure each year and is forecasted by analyst house IDC to reach over $8.5 billion by 2023.
Today, organisations need to re-examine how they can use new IT management software incorporating machine learning capabilities. Only
this can change the course of IT service management which has historically been a cumbersome function of every business’ IT department.
Just as with huge transformative initiatives, software and machine learning can help streamline processes and increase employee productivity to drive better business outcomes. Service desk software will let IT pros consolidate asset information from multiple sources and provide real-time asset intelligence, thus improving service delivery while enhancing flexibility for collecting and managing data. By removing the manual burden of tasks like ticketing and tracking of assets and their performance, this will enable IT professionals to focus on critical projects and business transformation.
First Published in
https://www.itproportal.com/features/the-role-of-machine-learning-in-it-service-management/
Steve is an accomplished technical and product leader with over 20 years of software experience in IT System Management, Cloud, and Analytics markets. He has demonstrated leadership and operational success in producing market leading products at companies including Dell, Quest Software, Red Hat, and Teradata.
About the Author
Steve Stover