Operations | Monitoring | ITSM | DevOps | Cloud

The IT service community is rightly buzzing about the wealth of possibilities AI offers to automate service management operations and better assist customers — especially in this age of expanding Everywhere Work. But without sound data, the path to leveraging AI for IT service management becomes quite daunting. With so many more people working outside a traditional office setting, more end users than ever are logging in more often to access employee services.

Imagine an Everywhere Work environment in which IT problems seem to magically resolve themselves before end users even realize there were issues. Printers miraculously start working again. Login issues vanish. Access to critical applications is seamless.

Visibility into your IT infrastructure can help effectively tackle incidents, keep track of your IT assets, and maintain higher security levels—how?

Dark networks have provided a measure of security to supply-chain operations for a couple of decades. These networks are closed to the outside world, only accessible via the connections between enterprise systems – think warehouse management, enterprise resource planning, etc. – and the rugged mobile devices carried by workers within these environments. And, everything is managed by on-premises device management products that never connect beyond the business’s facilities.

In today’s competitive business environment, effective inventory management can be the difference between success and failure. To ensure that inventory levels are optimized and resources are utilized efficiently, businesses rely on specific metrics called inventory KPIs (Key Performance Indicators). Through leveraging inventory management software and understanding these crucial KPIs, companies can drive better decision-making, reduce costs, and boost profitability.