“Privacy and ethics" are complex trends areas. Who really knows? Blockchain platform growth, standardization and use across industries is a safe bet and a legitimate technology trend. Gartner believes blockchain will be a $3.1 trillion business by 2030. Not $2.9T or $3.1T. Gartner thinks the number is 70%. I think it’s closer to 100%. It’s more than likely that companies with products and services that can be enhanced with “multi-experience”-based VR/AR/MR will play with the expanded technology. Its “immersive experience” is a twist on virtual/augmented/mixed reality (VR/AR/MR) with additional sensory features. VR/AR/MR is well underway Gartner has expanded the concept to include additional stimuli and responses. The next Gartner trend is the “empowered edge,” where computing will extend well beyond centralized facilities to the “edge” of the network where data can be stored, processed and displayed. What I like most about edge computing is its exploitation of microservices architectures where chunks of application functionality can be sent to edge devices. This expands computing power indefinitely, which is the real story around edge computing. This is a really important trend that’s not as obvious as it might seem. Gartner’s got this one just right (again), and hopefully will say a lot more about it going forward. It’s been around for decades, though now the replication and simulation technology includes all of the emerging digital technologies. Yes, digital twins can help us describe, explain, simulate, predict and prescribe activity and behavior across and within entities, which is well underway.
#Gartner hype cycle for emerging technologies 2019 update#
“Digital twin refers to a digital replica of physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes … digital twins integrate artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change.” Gartner and others have been talking about “digital twins” for a while now. AI will augment autonomous vehicles, analytics and application development, among scores of other activities and platforms will emerge to accelerate development and deployment. Gartner identifies AI services, platforms, frameworks and infrastructure as enablers of applications across domains.
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The open question is the distribution of tasks: who does what? Another good, though obvious trend.ĪI will also impact development. Gartner believes by 2022, 40% of new application development will involve AI co-developers.
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“Augmented analytics” is a true emerging trend: we’re on our way, but the number of applications is still thin. I’m not too sure about Gartner’s “citizen data scientist” concept, but if it helps us understand and define the interrelationships among data preparation, the automated and quasi-automated generation of insights, and “human assistance” in areas like natural language processing (NLP) and auto-generated visualization, then I guess “citizens” are better than traitors. There’s no question that AI will assist with big data analytics. No one knows, for example, what % of air, land and sea vehicles will be partially or fully autonomous in five years, and, yes, connectivity will be part of the rollout of all things autonomous. The first trend is “autonomous things.” Gartner believes in autonomous things! Sorry, but this trend is about as obvious as a Trump rally. Investments in autonomous things – especially vehicles – have been spiking for years. In fact, there’s a bona fide race to autonomy of all shapes and sizes among some of the largest companies in the world – and some of the (very well-funded) smallest! And yes, autonomous things will be enabled by a variety of technologies, including especially IOT and AI.