Research firm Gartner Group recently published its list of the “Top 10 Technology Trends for 2016.” We thought we’d share just a few of them with readers today. The list was created by David Cearley, a Gartner VP who shared them with editors at Information Management.
Cearley begins with what he has aptly termed “the device mesh,” by which he means the various endpoint devices people use to connect with people, communities, governments and business. “In the post-mobile world the focus shifts to the mobile user who is surrounded by a mesh of devices extending well beyond traditional mobile devices,” Cearley says.
From there, Cearley builds a case for some of the trends to watch for, including these:
Ambient User Experience – The device mesh creates the foundation for a new continuous ambient user experience, Cearley says. Think of it as one continuous and seamless digital experience for the user that blends device, time, and space, and combines the user’s physical environment with the virtual and electronic environments. “Designing these advanced experiences will be a major differentiator for independent software vendors and enterprises alike by 2018,” Cearley notes.
3D Printing Materials – The public likes 3D printing, and the public always gets what it wants. That will drive new advances in 3D printing technology, and its wider-scale use in new industries. “3D printing will see a steady expansion over the next 20 years of the materials that can be printed, improvement in the speed with which items can be printed and emergence of new models to print and assemble composite parts,” Cearley says.
Information of Everything – “Information has always existed everywhere but has often been isolated, incomplete, unavailable, or unintelligible,” Cearley notes. “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.”
Autonomous Agents and Things – The rise of the machines – or machine learning to be precise – also gives rise to a spectrum of smart machine implementations, Cearley explains. This includes robots, autonomous vehicles, virtual personal assistants, and smart advisors, all acting in an autonomous (or at least semiautonomous) manner. “IT leaders should explore how they can use autonomous things and agents to augment human activity and free people for work that only people can do,” Cearley insists.
Internet of Things Platforms – IoT platforms complement the mesh app and service architecture, Cearley says. Unfortunately, “Any enterprise embracing the IoT will need to develop an IoT platform strategy, but incomplete competing vendor approaches will make standardization difficult through 2018.”
You can read the entire article at Information Management’s site here.