5 key terms you need to know in the Gartner Predicts 2020 report

5 key terms you need to know in the Gartner Predicts 2020 report

One of our favorite reports is out and available for download on our site. (Yes, we have one. No, we don’t think that’s weird.) It’s the Gartner Predicts report! In their annual Predicts report, Gartner analysts make predictions about the tech trends they believe we’ll see in the upcoming year. They also review previous predictions and decide whether they were hits or misses. This year’s report is called Predicts 2020: Digital Workplace Applications Led by the New Work Nucleus.

So, the report is awesome. It’s incredibly insightful, and it’s especially useful as you plan your work and your budget for the year. It’s also chock full of highly intellectual vocabulary that the analysts clearly understand, but that might require a little investigating on the part of us laypeople.

Never fear. I did the research and compiled definitions for the terms in the report that I was least familiar with. Take a look, and then download the report when you get a chance.

New work nucleus

If there’s one term you really dive into before reading this report, make it this one. This phrase, coined by Gartner, describes an emerging phase in digital business where cloud apps rapidly replace on-prem installations. The cloud apps are mobile, collaborative, analytical, and integrated, and the shift toward them transforms the way people work. This transformation is the center around which businesses are building strategies and making decisions.

Digital dexterity

You might have already heard this one, since Gartner has been talking about it for a few years. But if you haven’t, digital dexterity, according to Gartner, is “the ability and desire to exploit existing and emerging technologies for better business outcomes.” Essentially, if you’re digitally dexterous, you’re really tech-savvy, and are not afraid to adopt new technology at work.

Graph technology

This one is just as high-tech as it sounds. But for the purposes of the Gartner report, what you need to know is that graph technology allows programs to identify patterns and connections in a set of data points. Combined with Artificial Intelligence (AI), graph technology helps your applications become smarter over time, and therefore provide you a more personalized experience when you use them. For the purposes of the Gartner Predicts report, the takeaway is that AI and graph technology can help the systems employees use become so personalized to each employee that the overall employee productivity and engagement can increase.

Everyday AI

This term is wonderful. It’s so “tech-speak for the sake of tech-speak.” At its core, everyday AI is artificial intelligence that is so invisible, we don’t even consciously identify it as AI. The example Gartner provides is the auto-suggested replies in your email; it appears, and we use it without thinking twice about the technology behind it, because its integration into our daily lives is so seamless. In reality, it’s presented based on data that the application has gather based on context, intent, and the user’s previous behavior.


My nerd heart loves this one. A centaur, in Greek mythology, is a half-man, half-horse. From a tech perspective, and for the purposes of this report, a centaur is a human/machine hybrid model for work. The message being that good businesses will augment, rather than replace, human staff with technology. (1,000 points to Gryffindor for this snappy term, right?)

I hope this post helps you get the most out of the Gartner report. Happy reading, everybody!

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