The Expected IoT Trends in 2018

An industrial robot using artificial intelligence / Photo by: Getty Images


The year 2017 saw the internet of things solidifying its position in manufacturing industries across the globe. The proposed digitization of regular household and office materials was met with enthusiasm and, sure enough, paid off in many areas of application. Home appliances and office equipment were specially modified to be able to adapt to user needs and make environments more conducive.

IoT is already finding different categories of implementation. By the end of 2017, IoT had been split into two entities -- IoT and Industrial IoT. Development and manufacturing companies are realizing that different machinery and equipment require different levels of automation, and are looking forward to building on that concept to create viable IoT classifications.

With such a successful sweep in the last year alone, chances are that the implementation of IoT will stretch its reach looking forward. Not only will tech companies devise ways to digitize more products, those with existing IoT technologies will also be improved upon to make living and working conditions even better. Here are some of the IoT trends expected to sweep the development and manufacturing industries in the coming months.

Amazon Echo Dot, a speaker that uses artificial intelligence / Photo by: Guilliermo Fernandes via Flickr


AI Domination

The biggest motivational factor for the digitization of products so far has been the need to implement solutions that are intelligent and are able to study and adapt to different non-programmed conditions. Gary Eastwood of Network World predicts that AI will still be at the forefront of IoT development. Looking ahead, developers will implement better AI technologies which can do more, having better data collection and analysis mechanisms. IoT in industries will also advance, as machines will have the capability to perform more tasks and learn to collaborate with human entities to improve efficiency.

Edge Computing over Cloud Computing

Edge computing is also a technology that will be improved upon, possibly to better extents than cloud computing. Writing for Global Sign network, Jaykishan notes that edge computing will move to replace cloud computing. Thanks to the vast amounts of data that IoT is producing, manufacturers are realizing the need for localized data processing methods, owing to the overwhelming of cloud servers with raw data that require processing. By implementing edge computing, data will move from devices to a more localized point of processing and analysis, and thereafter, send the results of the analysis to the cloud for storage. This will make the flow of data from machines to the cloud more efficient and eliminate the chances of data replication across many platforms into the cloud.


Improved Data Infrastructure

The current situation in IoT is that a lot of data are being produced every second, yet very little of this data are actually being harnessed for any business insights. It is expected that data infrastructure will be improved upon in the near future. Developers will deploy data analytics tools that will be able to siphon data and collect more relevant material. These tools will also become better at data interpretation in all the different formats which this data will be collected. The tools are expected to collaborate with the different AI systems within these tools and adapt to their data structures to provide meaningful insight into the industries which require them.

IoT Security at the Forefront

The challenge of securing all the data which IoT machinery and appliances are generating has become apparent after a series of compromises that were made on businesses and industries last year. Developers have studied those statistics and realized that the implementation of intelligent systems poses a bigger security threat than had been imagined before. There will be a need for better security protocols, intrusion detection systems, and encryption protocols for the IoT deployed in different areas. AI will be the driving factor for these improvements, and developers are hoping to create technology that is able to learn from new types of attacks to strengthen the security systems it contains even more.

Software-as-a-service Implementation

With the emergence of different companies that are implementing IoT into their products, there will be a need for robust software that run these products. The implementation of SaaS will be a viable option for companies that are not looking to develop proprietary software to run their products. “With a low cost of entry, SaaS tech is rapidly becoming the favorite of many companies that are hoping to up their IT game without having to break the bank,” Gary notes. As a result, SaaS companies will gain traction and feel the need to improve on their solutions so that they gain the upper hand in acquiring contracts.

IoT is setting the pace for a fully automated world, and it will not be long before these products are perfected so that they can become more applicable in various industries. The advancement of AI will also pave way for a more digitized working and living environment and enable the connection of virtually every operational technology into the internet.