Top Tech Trends for 2015

Technology changes as quickly as the weather these days, and can be just as difficult to predict.
Luckily Gartner are on hand to do the predicting. Earlier this month Gartner Analyst, David Cearley, presented their top technology trends for the coming year at the firm’s annual expo. Their list shows that the focus is on merging the real world with the virtual one, the implications for analytics and the type of IT needed to deal with it.

The Internet of Things, and everything associated, including smart machines, pervasive analytics and 3D printing, all feature on Gartner’s horizon for 2015.

Let’s take a look at the trends:

Computing Everywhere
As mobile devices continue to proliferate, Gartner predicts an increased emphasis on serving the needs of the mobile user in diverse contexts and environments, as opposed to focusing on devices alone.
“Phones and wearable devices are now part of an expanded computing environment that includes such things as consumer electronics and connected screens in the workplace and public space,” said Cearley. “Increasingly, it’s the overall environment that will need to adapt to the requirements of the mobile user. This will continue to raise significant management challenges for IT organizations as they lose control of user endpoint devices. It will also require increased attention to user experience design.”

The Internet of Things
The combination of data streams and services created by digitizing everything creates four basic usage models—manage, monetize, operate and extend. These four basic models can be applied to any of the four “Internets.” Enterprises should not limit themselves to thinking that only the Internet of Things (IoT) (assets and machines) has the potential to leverage these four models.

3D Printing
Worldwide shipments of 3D printers are expected to grow 98% in 2015, followed by a doubling of unit shipments in 2016. 3D printing will reach a tipping point over the next three years as the market for relatively low-cost 3D printing devices continues to grow rapidly and industrial use expands significantly.

Cloud/Client Computing
“Cloudis the new style of elastically scalable, self-service computing, and both internal applications and external applications will be built on this new style,” said Cearley. “While network and bandwidth costs may continue to favour apps that use the intelligence and storage of the client device effectively, coordination and management will be based in the cloud.”

Advanced, Pervasive and Invisible Analytics
Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data inside and outside the enterprise are analysed

“Every app now needs to be an analytic app,” said Cearley. “Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time. Analytics will become deeply, but invisibly embedded everywhere.”

Context-Rich Systems
Ubiquitous embedded intelligence combined with pervasive analytics will drive the development of systems that are alert to their surroundings and able to respond appropriately. Context-aware security is an early application of this new capability, but others will emerge.

Smart Machines
Deep analytics applied to an understanding of context provide the preconditions for a world of smart machines. This foundation combines with advanced algorithms that allow systems to understand their environment, learn for themselves, and act autonomously.

Software-Defined Applications and Infrastructure
Agile programming of everything from applications to basic infrastructure is essential to enable organizations to deliver the flexibility required to make the digital business work. Software-defined networking, storage, data centers and security are maturing. Cloud services are software-configurable through API calls, and applications, too, increasingly have rich APIs to access their function and content programmatically.

Web-Scale IT
Web-scale IT is a pattern of global-class computing that delivers the capabilities of large cloud service providers within an enterprise IT setting. More organizations will begin thinking, acting and building applications and infrastructure like Web giants such as Amazon, Google and Facebook. Web-scale IT does not happen immediately, but will evolve over time as commercial hardware platforms embrace the new models and cloud-optimized and software-defined approaches reach mainstream.

Risk-Based Security and Self-Protection
The path to the digital future leads through security. However, in a digital business world, security cannot be a roadblock that stops all progress. Organizations will increasingly recognize that it is not possible to provide a 100% secured environment. Once this is acknowledged, they can begin to apply more-sophisticated risk assessment and mitigation tools.

This will lead to new models of building security directly into applications. Perimeters and firewalls are no longer enough; every app needs to be self-aware and self-protecting.

 

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