“Too many cooks spoil the broth.” It’s an old saying we’ve heard many times in childhood. If we put it in today’s IT monitoring context, we could change it to “too many tools spoil the insights and efficiency.” IT teams across organizations have deployed multiple tools over the decades to monitor and track the performance of networks, databases, and applications and to ensure the smooth running of the business.

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.

Creating an effortless customer experience is one of the key imperatives facing customer service leaders today. Providing experiences without friction is a crucial step in enabling organizations to be more responsive and agile while improving employee productivity, satisfaction, and retention.

The short answer? Not so much! New global research from Freshworks shows that despite a pandemic-driven tech spend surge, nine in ten (91%) employees are still frustrated by workplace tech. It reveals that businesses globally face a potential workplace crisis due to inadequate technology, damaging employee productivity, mental health, and the ability to retain talent. The truth is, the concept of tech frustration is not entirely new.