1. Terminal Mixing Machine
On this point, Gartner summarizes the growing volume of mobile devices. It is not just about smartphone and iPad, but also about wearables (such as personal health management), classic consumer devices and devices for the home network, as well as devices connected to the Internet of Things. The task of providers of all services and gadgets is to enable the interoperability of this mixing machine.
2. Detection of the immediate environment
The world is less and less what it appears – or IT changes the perception of this world towards augmented reality and virtual worlds. However, media enjoyment still stands in the way of the enjoyable user experience. Under the independent software vendors, those who can best match these media breaks will be able to get through to 2018.
3. 3D printing
3D printing is no longer just about things like spare parts for machines. Tinkers are already talking about biological material, such as human skin, which can be produced by 3D printing. Gartner expects an annual growth of 64 percent in the spongy segment “3D-printable materials” by 2019.
4. order in all-encompassing information
Content data such as documents, audio data, video data, data from sensors – the whole world is recorded by data technology, but people who put these data into useful contexts are missing. These people need semantic tools. Gartner has already described “Information of Everything” as a kind of new strategy that will tackle this issue.
5. Learning machines
In his “robot tales” the Polish author Stanislav Lem writes about the primordial machines that produced the thinking machines, which in turn produced the clever machines up to the perfect machines. Gartner seems to follow a similar logic. Smart machines will leave the classic computing behind and learn by means of Deep Neural Nets (DNN) independently.
6. Autonomous vehicles and agents
Probably the best-known example of a self-propelled vehicle is probably the Google car. Gartner, however, does not want to neglect the autonomous agents, among them the analysts understand, for example Cortana of Microsoft or Siri of Apple. In the next five years, a post-app world will emerge, where such intelligent assistance systems play an important role. CIOs in companies should already explore how they can use them for employees and customers.
7. Learning security architectures
While CIOs are increasingly using the cloud and creating open interfaces to better integrate partners, suppliers, and customers, the hacker industry is not asleep either. When it comes to security, companies need to be able to learn.
8. Learnable system architectures
What also applies to security architectures also applies to system architectures. Gartner writes of neuro-morphological architectures, which should allow the interaction of all the hardware (stationary and mobile) and the data from sensors and from other sources. CIOs will be enhanced with field-programmable gate arrays (FPGAs). The IT systems are increasingly similar to the functioning of a human brain.
9. App and Services Architectures
The time monolithic application designs is over. The architecture of the future is based on apps and services. It is software-defined and should allow for more agility and flexibility. Tags are microservices and containers.
10. Platforms for the Internet of Things
The mentioned new architectures require new platforms, the Internet of things contributes further requirements. CIOs have to check their current platforms, which is not an easy task, Gartner said. This is because the market for providers of suitable platforms is difficult to see, standardization can not be said about this whole topic. This is not going to be any better before 2018, Gartner estimates.