With the technology sector being so disruptive every year, everyone wants to be on top of things without understanding the impact or need for sustainability. You need to understand that you cannot just go with the herd and do what everyone else is doing because then you wouldn’t be creating job security. You have to be one of a kind where you are constantly learning and developing because that is important.

IoT has a lot of untapped potentials and it needs to be explored. Be it in the field of electronics, healthcare, biotechnology or even automobile, it sure has potential. But what are the top trends that are expected to dominate this year?

1) Security

We keep asking our resources to learn and grow, but the pace is insanely inhumane. We can implement and integrate a thousand solutions into the infrastructure, but is it worth the data breach that we are constantly threatened by? As a user, you would always prefer quick access to anything at all instead of taking a step back and deciding what should and shouldn’t be shared. Security for IoT is under heavy guard and security such that there are no orchestrated attacks.

2) Need to develop smart things

Developing smart things such as smart lights, smart rooms, smart buildings, smart cities has been looming over the years, but no one ever tried paying any attention to them because cost-effectiveness was a major barrier. But the weight has shifted from generic smart to something more intense and dynamic. Be it asset management, fleet management, inventory management or even managing entire governments, the more optimized the more product, the better IoT is supposed to work. Imagine a city where you have systems and models that give you the accurate details of saying atmospheric pollution or even perfect traffic conditions such that you can avoid the rush.

3) Transformation

We cannot stress the importance of transformation enough. Be it in a digital space or even in a general way, transformation is the key to disruptive innovation. And if you are not being disruptive, you are not growing. The velocity of expansion is humongous and given that it is data-driven, dealing with breaches just adds another layer of impact.

4) Machine learning

IoT is absolutely incomplete without mentioning machine learning. Given that AI and ML have tremendous growth opportunities, self-optimized and productive work is important too. The need for things to be connected is becoming more and more intense and these self-developing networks can make it easier than ever.

5) Monetizing data

Just because IoT is in the loop, it doesn’t make sense to stop overestimating data science. Connected devices are going to the norm and order of the day which will function based on information sharing. With algorithms and visualizations evolving day after day, IoT needs to enable more business cases which would enable easier implementation.

6) Commercial expectations

Yes, businesses do not want to spend on pieces of training. Yes, businesses want you to know everything before you step into the company. Universities, organizations, and portals have been super fast-paced when it comes to adopting the new technology as a subject of study.

7) Revenue model could get challenging

You can promote multiple solutions which ensure that there would be cleaner and greener energy solutions. Even if your company manages to provide that, it is not necessary that the company actually makes money out of it. Your smart products are honestly one-time purchases. The challenges lie with generating new customers.

8) Blockchain

Blockchain in IoT is path-breaking. An emerging trend severely regulated for several reasons? We still need to find out that can mobile app development help? Well, it is not before the complete integration that we can experience the ground reality.

9) Learning analytics

The number game isn’t enough. Understanding it better takes the cake away any day. Analytics capabilities will require new roles that would comprise a pool of data scientists, engineers and cloud providers. IoT app development will be one of the basics to start off with.

10) Mergers, acquisitions, convergence infrastructure

The Internet of things has been a huge deal when understanding the disruption in technology is concerned. We as individuals have been struggling to solve the problems instead of harnessing it to make life better for all of us. It is not unusual, but it is a buzzword that has managed to keep everyone on their toes. Is it safe? Is it going to keep your job secured? Should you make a calculated move and enter this world of IoT and ditch the convergence infrastructure? Well, ideas can strike anyone, implementation is the key.

11) Employment

It is simple. Deeper data mining will change the norm of hiring in the upcoming times. Companies will need to take a tough stand which would obviously land in the bad books.

12) Next-generation manufacturing

Just a few years ago, data science was one of the most creamed fields because it exposed the world to the gold mine of information: online data. Post that multiple fields started emerging throwing the world into a vortex of entropy which shook the very foundation of the establishments. With artificial intelligence gaining ground, with deep learning, neural networking, machine learning and internet of things making their way into technical headlines, it seems overwhelming to understand and keep up with the same. Holistic cloud services augmented human interactions, so on and so forth.