We all know the value of knowledge management in helping IT support, but it’s important not to forget two additional use cases for ITSM knowledge and how it can make a big difference to the level of success for both IT self-service and the introduction of AI-enabled IT support capabilities. Here we explain more.
This article by Roy Atkinson takes a deep dive into recent HDI research to shed some light on the current state of knowledge management, the reasons organizations have decided to provide self-help, how they provide that help, and what some of the barriers to improvement are.
Truth to be told, in the future no one knows how advancements in AI will affect our lives. We have to wait and watch. But one thing is sure in terms of ITSM – AI will definitely change ITSM processes and practices. As such, this article digs a little deeper to see how AI will change future ITSM solutions.
It’s a simple fact that the impact of Artificial Intelligence on service desks will become valued when AI is able to perform the mediocre tasks service desk teams would rather not do, as well as the actions humans struggle with. With that in mind, this article looks at where AI is taking, and will take, IT support.
In IT we need to go further than the mindset of “supporting the people, not the IT” to be more focused on the business-level outcomes achieved through what we do in IT. This article which offers up some of the key learning points from Refresh19 London – a Freshworks customer event – aims to help you achieve this.
Because AI is rapidly changing many of the ITSM operations and tasks we deal with regularly, the time is ripe for disruption of the IT service desk industry. To help explain “the art of the AI possible,” this article looks at the key areas that service desk managers need to understand about AI.
In this article, we consider whether your average ITSM team is able to really take advantage of the opportunities that digital transformation, customer experience, and AI technologies offer. Specifically, to help you to better understand if your ITSM team is suitably positioned to deliver against the business requirements that are necessitating this increased exploitation of technology and data.
Service desks have already been struggling with the likes of chat and self-service, and now in the midst of all the hype surrounding the opportunities of artificial intelligence (AI), machine learning, and chatbots in particular – we have to ask: is the average service desk going to be successful with this new technology?
Which IT service management (ITSM) topics would you like to see our content focus on in 2019? Please take our quick poll and then read on to find out more about a year in the life of ITSM.tools’ content and readership, and to see how we shaped our content plan around last year’s votes.
Building off of our 2017 analysis, this article introduces a new ITSM.tools survey that we hope will help IT service management pros to better understand where the future of ITSM is heading and what they should be thinking about (and then doing).
Here Ian Aitchison introduces his concept of “Artificially Intelligent Service Management,” described as ITSM, but with a rich and creamy layer of artificial intelligence on top – like icing on a cake. Sound hungry? We mean interested… click-through to read more.
In this article, Sophie Danby looks back at a recent industry conference and uses it as a platform to discuss the changing face of ITSM, the ever-growing importance of customer service, the industry focus on Artificial Intelligence, and why we – in ITSM – need to focus more on the darker side of mental health.
Seven ITSM influencers share their advice on creating your ITSM future: including how the changing landscape demands new approaches, and what you should be considering now (and later) with regards to chatbots and machine learning.
What can Artificial Intelligence really do for ITSM, and how can you get the most out of current AI opportunities for the IT service desk? This article explores, and also shares how AI and ITSM can combine to reduce tedious tasks and help us to better analyze large data sets.
Technologies such as AI, machine learning, and natural language processing have finally reached a point where they can provide value to an organization. This article shows you how, specifically looking at IT incident categorization and assignment.