Pilot to Full Scale Adoption of iIoT with Arun Santhebennur

The Industrial Internet of Things is not an initiative. It is now a real-world application. For organizations that are data-driven, IIoT is where rubber meets the road.

The fourth industrial revolution being hallmarked by growing networks around people and things. As the internet becomes more mature, we re seeing a new era of innovations building on to the influence created by social media. It is the Internet of Things (IoT) which aims to connect people to smart devices. Industry players are seeking ways of leaner and smarter production to remain competitive. Industrial IoT (IIoT) comes in with provisions of monitoring and preventive maintenance to improve productivity. The end goal is optimizing the life of production assets.

In this episode, Arun shares his insights on:

  • How people can pilot and bring full-scale adoption of IIoT
  • What improvement IIoT can bring
  • The critical steps in adopting IIoT solutions
  • Challenges and ways to overcome successful shift to IIoT

IIoT has made sensor technologies and data harvesting simpler by having internet integration. Profitability is one of the beneficiaries of more affordable sensors and real-time data. Engineers and executives can now get a bird s eye view of the facility s health. They can even drill down to one machine, all through dashboards connected to IIoT devices. Improved visibility into operations translates to increased safety. IIoT tools are empowering managers about plant health through a predictive approach. Symptoms that spell danger to staff and other operators on-site can be addressed well in advance.

There is still relatively low awareness of IIoT. Plant managers still don’t know where or how to start implementing these solutions. For such prospects, the validation process should go through three steps:

  1. Validating the technology. This implies researching and testing the sensors to see what valuable insights can be derived from its collected data
  2. Validating the business.  This focuses on the improvement in performance or safety. The bottom line is its contribution to more productivity for the company
  3. Validating change management which underpins the other two. With new technology, it becomes important to get the staff support to make it effective. The value created from IIoT solutions needs to be packaged and communicated effectively.  It is not so much a technology change as it is a cultural one.

Without a clear validation process, companies risk having another good technology idling.  Common telltale signs start with a lack of network planning and communication. This could be as a result of making an investment decision without seeking opinion from end-use operators. Another pitfall is lacking the right combo of data analysis and engineering. Without this expertise, it becomes difficult to extract insights from the available sensor data. 

To overcome hurdles on the road to IIoT integration, it starts with having the right culture. Across the organization, support towards improved technologies should be clear and well communicated. That way, solutions will have one less dimension of challenges in their implementation. Understanding the technologies and available skills is another ingredient of successful implementation. Skilled personnel implement these solutions at scale and take advantage of their full functionality. These people will also be key in choosing high visibility, high ROI projects that validate adoption. All in all, if the culture isn t right, you shouldn t expect the outcome to be.

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