Celebrating Momentum Built on Our AI-Driven IT and Enterprise Service Management Suite

The new year is always a time to reflect on what has passed and look forward to what lies ahead. In reviewing growth for 2019, we found that we have reached significant milestones in customer adoption, with a 40% increase over 2018. We also received significant industry and customer recognition for our groundbreaking product offerings.

In today’s 24/7, Always On world, more than 2.5 quintillion bytes of data are created every single day. We are generating data on a scale unprecedented in human history. For organizations seeking to use all that data to advance their goals, though, having more data does not guarantee the ability to extract value from it.

Organizations like to feel that they’re participating in the larger technology conversation. They want to be in the know and on-trend. Such is the case with AI, machine learning and automation. These powerful technologies have already been used to great effect across industries, and organizations are keen to leverage them to achieve business goals.

Of the 34 “management practices” for IT service management (ITSM) in the new ITIL 4 best practice guidance, the success of the release management practice is a key indicator of whether an organization is high performing or not. This blog, on the use of ITIL 4 release management for the cloud delivery model, is part of a series that looks at a number of the ITIL 4 management practices and how they are they are applied on the cloud (in terms of both service delivery and support).

Enterprises don’t usually discuss IT service management (ITSM) and DevOps in the same breath. They believe that ITSM is all about procedures and DevOps is about deconstructing procedures, so the two are mutually exclusive. But that’s not really the case anymore. In fact, combining the two methodologies offers new ways to scale the enterprise and create agility while maintaining control of IT.