When Gartner revealed its new list of the top 10 technology trends, some well-known names like IoT platforms and 3D printing materials made the list along with a few newcomers like the ambient user experience and Mesh App and Service Architecture.
Only technology trends which have the potential for significant impact on the organization, like high potential for disruption to the business, end users or IT, the need for a major investment, or the risk of being late to adopt make the list. Here are the trends you should take a closer look at according to Gartner.
The Device Mesh
The device mesh refers to an expanding set of endpoints people use to access applications and information or interact with people, social communities, governments and businesses. In order to form an IoT in which you are truly connected these endpoints are no longer isolated but expected to work in closer cooperation. This will enable the user to access and interact with devices easier and more convenient.
Ambient User Experience
Enabled by the device mesh, 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. This will create things like immersive environments delivering augmented and virtual reality.
3D Printing Materials
Advances in 3D printing have already enabled 3D printing to use a wide range of materials, including advanced nickel alloys, carbon fiber, glass, conductive ink, electronics, pharmaceuticals and biological materials. The enabled new practical applications for such equipment begin to expand into more sectors including aerospace, medical, automotive, energy and the military. This will drive the user demand and Gartner predicts it will further drive a compound annual growth rate of 64.1 percent for enterprise 3D-printer shipments through 2019. These advances will necessitate a rethinking of assembly line and supply chain processes to exploit 3D printing.
Information of Everything
Everything in the digital mesh produces, uses and transmits information and data is no longer isolated. The flood of information consisting not only of textual, audio and video information but including also sensory and contextual information needs strategies in order to link data from all these different data sources. Advances in semantic tools such as graph databases as well as other emerging data classification and information analysis techniques will bring meaning to the often chaotic deluge of information.
Advanced Machine Learning
In advanced machine learning, deep neural nets (DNNs) move beyond classic computing and information management to create systems that can autonomously learn to perceive the world, on their own. Due to the explosion of of data sources and complexity of information manual classification and analysis are no longer economic or feasible. DNNs solve key challenges related to the information of everything by automating data linking and processing tasks.
As the self-learning capabilities of “intelligent” machines are evolving fast, organisations must assess how they can apply these technologies to gain competitive advantage.
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