The Industrial IoT can be leveraged to transform production lines in manufacturing units. A multitude of benefits like boosting production efficiency, automated processes and increasing productivity play a pivotal role in the adoption of IIoT by diverse industries. It strives to create a connected factory floor by merging Operational Technology (OT) and Information Technology (IT), facilitating a real-time analysis of gathered data from machine components.

While new technologies remain a buzzword, it becomes essential for organizations to stay updated to foster business growth.  2017 has seen the rise of new technologies and development in Industrial IoT landscape was no different. Several trends have emerged that are now driving the IIoT industry and transform the way we gather data and use it effectively to draw insights.  Here are some predictions on how current trends will shape Industrial IoT.

Enhanced Security

With the use of cloud on the rise, more and more organizations have started to host critical infrastructure and applications in the cloud. However, in an attempt to reduce response time, organizations must explore ways to host applications at the device level. This introduces the concept of Edge Computing, decentralized network architecture where data processing occurs at data source rather than sending data across long routes to the data center or cloud.

As Edge Computing reduces the amount of data being sent to the cloud, it poses privacy and security risks. 2018 will see more hardened security measures being taken.

Better Data Analysis

In recent times, organizations produce more data in a single day than they did in one month just a decade ago. However, with a vast quantity of data at the disposal, drawing real-time and actionable insights from this data is a challenge which most industries face.  In order to solve the issue of DRIP (Data Rich, Information Poor), manufacturers will focus more on investing in data literacy rather than infrastructure. Conversations have already shifted from questions about how to gather data to how to utilize this data. The curve of investment will gradually bend towards analytical abilities and call for bridging the skills gap in IoT talent recruitment. The wider investment in education will facilitate hiring talent in new roles like data scientist and engineers.

Data Centers Becomes Autonomous

Many industries are embracing automation already. Given the considerable advancements in AI, many companies are expressing their interest in autonomous data centers. At present, there are no data centers that are fully automated and this is why self-driving data centers are every CIO’s end goal. Automating it provides benefits in terms of increased profits, decreased staff needs, better accuracy and enhanced data security. 2018 will be the year that will begin the transformation of data centers into fully autonomous operations. It’s only a matter of time that autonomous data centers become mainstream.

IIoT and Artificial Intelligence will enable IT Managers to solve data center issues automatically by software.  Data center administrators will be able to remotely access, manage and troubleshoot outages. Autonomous data centers will allow infrastructure gear to be deployed and maintained autonomously.

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