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Gartner hype cycle for artificial intelligence 2020
Gartner hype cycle for artificial intelligence 2020





gartner hype cycle for artificial intelligence 2020

Social Impact Bonds, SIBs for those in the know, were first trialled in Peterborough, UK, in an attempt to reduce prisoner recidivism by using an innovative financing mechanism where private investors would get a return if the new intervention performed better than a conventional one. After an initial hype practitioners and policymakers are getting better at understanding where and how this method can deliver most value.Ħ) Social Impact Bonds: pay for success only Having originated in development economics many countries developing and developed alike are warming up to the idea that randomised studies of interventions can help them figure out what works and what doesn't. The trough of disillusionment will likely come as more governments adopt the model, but it's worth sticking with it since they, if set up and run well, can make a difference.ĥ) Randomised Control Trials: randomise this! Organisations such as MindLab, OPM Lab and the UK Policy Lab are leading the way. They bring together design thinkers and other creative problem-solvers to tackle government's hardest problems. Policy Labs are the hottest property in government innovation land. Just past the peak of inflated expectations, about to descend into trough of disillusionment It's a solid method that delivers great results if used thoughtfully and, in the right context, we should stick with it through the disillusionment that's coming.Ĥ) Policy Labs: the creative science of better government Design is not likely to be the solution for all of our governmental problems, but you wouldn't be able to tell if you only listened to some speakers at design conferences. Originating in the world of product and service design, this method borrows heavily from ethnography and is particularly valuable to improving governmental services.

gartner hype cycle for artificial intelligence 2020

Everyone is still trying to figure out where this really makes sense.ģ) Design Thinking: post-it sized citizen-centred insights Few people seem to genuinely understand what the blockchain can and cannot do. While worthwhile government applications for blockchain will surely emerge, it no doubt has been hyped. When will you be replaced? Expectations are high, but will rise even more as governments start experimenting in earnest with this technology.Ģ) Blockchain: one distributed crypto ledger to rule them allīlockchain is the technology behind bitcoin. DeepMind has beaten the world's best Go player, something all experts thought was at least another decade out, and governments are only beginning to grasp what might be possible using machine-learning and artificial intelligence (AI). If you're a policymaker you should be very afraid. Transitioning out of technology trigger phase, scaling peak of inflated expectations With that in mind, and without being too serious about it, here are 10 hot topics in government innovation and their place in the hype cycle:ġ) Artificial Intelligence: out with the humans, in with the machines

#Gartner hype cycle for artificial intelligence 2020 how to#

Along the way governments have learned, sometimes painfully, how to make best use of NPM. New Public Management (NPM) was at one point the peak of inflated expectations, but is now firmly and, many would argue, productively embedded in the practices of many governments. Things go from new and shiny to mature, from hyperbolic to realistic expectations, from courageous first users to mainstream adoption. New technologies start in the technology trigger phase, climb the peak of inflated expectations, fall into the trough of disillusionment, and traverse the slope of enlightenment before finally arriving at the plateau of productivity. And much like in the private sector, the hype cycle can be applied just as well within government.

gartner hype cycle for artificial intelligence 2020

As new technologies and ways of doing things come into the world it takes experimentation to fully grasp the potential (or lack thereof) of something new. Created by IT consultancy Gartner, it is a graphic that represents how a technology develops from conception to maturity to adoption. The hype cycle has quickly taken firm root in both the public and private sectors.







Gartner hype cycle for artificial intelligence 2020