This month Gartner Research offered a top-level forecast of where technologies are going over the next five years. At the same time they explored technologies in greater detail with this report, which I’ll summarize here.
It’s a pretty solid list, not offering any wild surprises. Much will be familiar to FTTE readers. Gartner focuses on the internet of things, security concerns, and information/data analysis. Productively, they also want us to think about the “post app world”.
Highlights:
- 3d printing – it’s about the materials available to print, not the printers themselves. “[A]dvanced nickel alloys, carbon fiber, glass, conductive ink, electronics, pharmaceuticals and biological materials. These innovations are driving user demand…
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- Big data meets the internet of things to spawn “Information of everything”.
- We’re still waiting for serious internet of things platforms to emerge. Businesses need ’em.
- For artificial intelligence, watch for advanced machine learning to grow from “deep neural nets”.
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At the same time, we should expect intelligent agents to become autonomous.
- Users will demand more interoperability across devices, as we move more fully into the mobile world. Gartner sees this in terms of meshes and “ambient user experience.”
Immersive environments delivering augmented and virtual reality hold significant potential but are only one aspect of the experience. The ambient user experience preserves continuity across boundaries of device mesh, time and space. The experience seamlessly flows across a shifting set of devices and interaction channels blending physical, virtual and electronic environment as the user moves from one place to another.
- Networks will defend themselves by becoming more adaptive (isn’t this already occurring?). Then Gartner leaps joyously into the weeds with this great passage that I can barely understand:
[I]ntense computing architecture… [will be] provided by high-powered and ultraefficient neuromorphic architectures. Fueled by field-programmable gate arrays (FPGAs) as an underlining technology for neuromorphic architectures, there are significant gains to this architecture, such as being able to run at speeds of greater than a teraflop with high-energy efficiency.
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Overall, a useful look at some key short- and medium-term technology trends.
Are you seeing these trends appear in your world?
(thanks, once more, to Dave Fusco)
I got a solid explanation of FPGAs from @dougblank who has worked with them. Basically, the idea behind them is that the software actually rewires the hardware to possibly do several things, run faster primary among them, but also, a board could change functions via software, so that a graphics card could morph into a sound card or a wireless card based on the needs of the software. He thinks they’re totally cool, especially because they often involve evolving software and hardware, literally. That’s a simplistic explanation, but it’s definitely connected to the Internet of Things, Machine Learning, and AI, all of which are going to be a huge part of our future.
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