The ITIL 4 Foundation Edition introduced the service value chain in 2019, as an operating model to facilitate value realization. We’ve first talked about the topic on our Definitive Guide on ITIL, but it’s time to expand on the concept to understand: So, make sure to keep reading – we’ve thrown some useful examples on how the service value chain works!

So, you want to become a DevOps engineer? It’s a stimulating, challenging, high-paying career choice, but the lynchpin role holds software development and operations together. We’ve compiled a DevOps roadmap that includes all the steps required to fill the shoes of a DevOps expert. As you know, DevOps is a set of practices and tools to integrate and automate processes between IT and software development teams.

The continuous debate around artificial intelligence (AI) has led to a lot of confusion. There are many terms around it that appear to be similar, but when you take a closer look at them, that perception is not entirely accurate. For that reason, here we take our best shot and oppose AI vs. machine learning vs. deep learning vs. neural networks to set them apart once and for all. In short, we’ll look at how they all relate to each other, and what makes them different in their particular way.

Service Level Agreements (SLAs) are a crucial part of Service Level Management, and therefore one of the key components of IT service management. They are the basis for building and delivering IT services, and play a key role in ensuring that both the client and the service provider are on the same page and that the service delivery is at par with or exceeds customer expectations.

As the world continues on an accelerated course towards digital transformation, organizations have been placing an increased emphasis on the concept of experience. This is especially true within the world of IT service management, where being able to provide positive service experiences to customers and stakeholders is absolutely paramount.

Naming conventions for assets have a rich, engaging, and often hilarious history. While recently organizations have switched to standardized and more informative naming conventions based on location and function, earlier (and even now) IT departments have had a lot of fun naming assets for their data centers and servers. IT departments have often showcased their inner geek by using names of Star Wars or Star Trek characters for their assets.

An ITSM dashboard is your de-facto control center for everything related to service management. It should be clear, detailed, versatile, and offer a single-glance way to get the information you need. Otherwise, you risk mismanaging your IT assets and operations because you missed valuable data points. We thought we’d share helpful tips to get the most out of the experience.

In most organizations, software asset management (SAM) is not given much importance since IT professionals don’t emphasize its relevance. It could be influenced by the fact the responsibilities of a SAM team are often delegated to other employees. But with the rising of software procurement costs, distributed workforces, and the rapid growth of the SaaS industry, we are starting to see software asset management less as a nice-to-have and more as an essential business component.

That big software audit you’ve been dreading? Yeah, it’s coming, it’s real, and it’s sooner than you think. But why, oh why, do we even have to face these in-depth software inspections in the first place? How hard can it be for them to just take your word that every software license on your system is perfectly up-to-date? As you probably know, that’s not how things work with audit management.

It seems like everywhere you look these days you find a thinkpiece to grimly warn us of the dangers of artificial intelligence. But if you talk to anybody with an interest in the way technology interacts with human life – particularly in the world of service management – and instead of the grim pessimism of dystopian fiction, you’ll find sheer enthusiasm. There is tremendous potential for AI in ITSM.