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Enterprise Technology Trends that Have Defined 2017

Published on 27 December 17
Enterprise Technology Trends that Have Defined 2017 - Image 1

Consumer technology has continued to influence enterprise IT for the better part of this year. But there has also been a change as more craft business ready versions of the emerging technology are produced in all the categories thought to be hot. It has been the case with digital transformation, the blockchain, marketing integration, and digital twin solutions.

The portfolio of emerging technology solutions that need to be managed continues to grow with each passing day. The technologies to watch for include:
Migration to the Cloud
Cloud adoption has started being transformed into what is now being referred to as cloud-first strategy. Investments in enterprise imaging, as well as cloud first technology have led to the creation of substantial benefits for companies. The benefits have included a reduction in equipment and hosting costs, enhanced collaboration, expanded capacity, increased productivity, and streamlined operation. Currently, cloud first has become extremely important in ensuring that companies remain agile.
VR and AR

Pokemon Go was fun, and as expected, it changed the way people made use of AR (augmented reality), as well as VR (virtual reality). People have been able to build on the success of this platform to come up with better ideas for use in the marketplace. 2017 has seen VR and AR devices gain more mainstream use compared to past years.

There are devices that are still in various stages of development, with many being expected for release next year. Amazon Go is one of the platforms that have already hit the ground running, having being leveraged on the AR and VR tech.


There is a need for the internet of things security to be as agile as components that are already in use by various people. It needs to be adaptive and fluid. Designers will need to consider its security very early on during the development of applications to be used on the internet of things. Enterprise architectures and solutions will also need to be given a lot of thought.

Time has come for the enterprise behavior analytics to start being considered across the various applications being deployed in the enterprises. In addition, it is only a matter of time before the multi-layered security measures start ruling the day-to-day enterprise applications.

Intelligent Apps

You may not have come to this realization, but you probably have already started working with smart apps, but on a small scale. A good example of an intelligent app is a virtual private assistant. The apps can transform your business operations by streamlining the processes already available in the workplace.

Processes that can be streamlined include highlighting different kinds of content, as well as prioritizing your emails. Within a few months, you are likely to come across intelligent apps that go beyond the scope already covered by the virtual private assistants. Many apps are also expected to come with artificial intelligence capabilities.

Automation for Marketing and Data Centers
Enterprise automation has always been associated with a number of problems and anxieties. And this goes beyond the factory floor. Automation can, however, be seen as a good investment for your future. When properly implemented, automation will make it possible to expand the job descriptions into different sectors. Many data centers have already been automated. They mainly rely on open source automation tools to carry out their functions.
Blockchain has already proved to be a big hit in industries such as music distribution, identity verification, and title registry. It has assisted in preventing data tampering while reducing the friction between businesses. It also promised enhanced trust, especially for businesses that are at an increased risk of being affected by a data breach such as a financial institution.

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