Like self-driving cars, self-healing IT is already here and it’s going to stay whether you like it or not. Please read this article to find out more about what it is, how it works, and why it matters to your organization.
In the world of service management, it’s a fact that analytics will continue to be a driving force in decision-making in 2020, and in this article we look specifically at how not just analytics, but predictive analytics will continue to grow in importance, impacting ITSM and how organizations conduct business.
This article explains what Enterprise Service Management is and how it helps before talking to how new artificial intelligence (AI)-based capabilities – such as intelligent and connected chatbots – make an even greater difference to employee productivity and business outcomes.
There’s increasingly a culture by which people see current AI capabilities a let-down. That’s because science-fiction-based expectations – so let’s get rid of them and take a look at how AI has actually evolved and will continue to evolve in reality.
The fact is that if the data and information captured within your knowledge articles or incident records or other ITSM artifacta is of poor quality, then the resulting actions (using AI) will likely be of poor quality. Here Doug Tedder explains how to avoid this and practice good ITSM hygiene.
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.
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.
Automation of processes (across the organization) is something that should be treated very seriously and carefully – it can be dangerous when not properly implemented and/or defined. Here we look at the key requirements for, and benefits of, successful process automation (and digital transformation).
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.
Being an IT Manager is a big role with a lot of pressure, but it’s easier with tools that help you automate your tasks. Here Ben Lang lists 10 office automation tools that make it easier for IT managers to keep their offices running smoothly – and make the entire company more productive.
AI and machine-learning, once obscure academic subjects, are now the talk of dinner tables and cocktail parties. But how can the new technologies and techniques of AIOps extend and integrate with established ITSM foundations to help prepare organizations for the future of IT? This article explores.
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