This article reports back on the results of our latest content poll, which asked respondents to choose the five ITSM topics they most need help with in 2021. We also look at how things have changed versus 2020. Get the results here.
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.
People often tend to misunderstand the many terms used with artificial intelligence (AI), such as AI itself, machine learning, deep learning, and others. As such, this article aims to help you differentiate and understand the various roles these capabilities can play in IT service management.
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.
There’s a lot to consider with digital transformation. For instance, how should your organization get started? It’s a little similar to how to eat an elephant – one bite at a time. But which bites do you take first? To help your organization to get started with digital transformation, here we share eight tips.
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.
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?