Talk about desktop software development or mobile app development, digital trends are changing rapidly with new technologies being introduced in either. Honestly, that is not a bad thing because it is the dynamism that takes us places. But then, the real question is whether the world is able to adapt to these changes or losing precious time in the process. From what is apparent, some of the companies are often too late to determine what needs to be done in order to stay relevant in the market. In order to be able to understand the changing trends, they must first analyse which fundamental factors may affect the tech space in the coming years, so that the changes can be anticipated, and duly adapted when they arrive.
In this article, we will take a look at the factors that will determine the shape of technology in the year 2018, so that you and your business can be future-ready:
We would like to use the word ‘cloud’ here, and not list the technologies that branch from it, because we want to represent how we think cloud is set to become even bigger in 2018, and is not going to be limited to few tasks. For instance, cloud software as a service have become hugely popular, and even form the base for many products like Google Chromebooks that barely run any locally installed applications, allowing the manufacturers to build cheaper products, with high-performance hardware. Also, because IoT has become a reality by now, and is not just a concept anymore; there are a number of companies that have been collecting data with sensors, M2M structures and the bridge between them, since last few years. To leverage this data in analytics with the help of interoperable IoT systems, cloud is going to play a significant role.
Before the picture of automation could leave the frame, we have come across a better solution that basically does the same thing as automation; but with a logic. We are talking about Machine Learning, which is one of the biggest technologies that will influence our world in coming years. The difference between the two, and the reason why Machine Learning development is going to overshadow plain automation, is here, and it is simple: machine learning follows deep learning algorithms to execute tasks intelligently, while on the other hand, plain automation is not intelligent and needs a resource to monitor it. As a result, each node with plain automation would still need a supervisor, while Machine Learning automation would not. However, that was just the industrial application of it, and probably something too serious for you. Let’s pick something that is around you and uses Machine Learning. Camera filters in apps like Snapchat, Facebook and more, use Machine Learning algorithms to precisely track facial contours and put filters that fit your face, just about right.
It has been a while since we were first introduced to digital, and hence, visual communication. Visual communication is a complex term, and not understood by many. However, each and every one of us has a knack for it, and that is basically what visual communication stands for in its entirety. It has been years since the concept of visual designs was introduced, and by now we have developed a taste for better designs and in understanding what is embedded. For example – WhatsApp has a very simple interface, and is easy to understand. But that doesn’t mean it lacks on design, as the logo itself is quite expressive. And then how Orkut subsided and handed over the crown to Facebook, was a result of complicated interface with too many design elements lacking a clear orientation. While on the other hand, Facebook has retained its simplistic, comforting design that is just perfectly loaded with what a social media platform must have.
Internet of Things
The concept of IoT clearly indicated in the very beginning that it will act as a mainstream technology, and also as a base for many others. If we talk about what Internet of Things solution actually is, we can easily see through all the hype that surrounds it. IoT is a simple, connected-at-all-times network of devices that can freely communicate among themselves, and collect data for various purposes. Don’t take us too seriously when we say its functions are comparative to an ERP system that to a company as big as this planet, and is responsible to co-ordinate all the components worldwide. IoT is bound to affect technologies of all types because at the core of any existing technology or technological advancement, there is data, stacks of which are going to be monitored by a ubiquitous IoT network.
To understand the rapidly change technology space in order to keep up with it, understanding the driving factors is probably the most important thing. By keeping a tap on the driving factors, you can prepare or upgrade your existing infrastructure to leverage the upcoming trends, and assimilate them before your competitors.
Sadesh, an experienced content writer working in aniPhone and Android app development company India (FuGenX- Info@fugenx.com). I like to write content based on technology, Startups and latest technological innovations that people like to know and share with others.