IIC Journal of Innovation 8th Edition | Page 42

There Are New Markets for Industrial IoT Data The availability of industrial IoT (IIoT) data is creating new ways for industrial organizations to collaborate and to innovate. In effect, data functions as a new kind of lubricant for industrial processes. However, that is not its only use. However, the value of this experience base is about to experience a new revolution. Thanks to low-cost connectivity and data science technologies, the very nature of industrial hardware and operations is changing. It is now straightforward to monitor remote and nomadic assets. These may be fixed container tanks. They may also be self-propelled, construction machines, located remotely, outside the traditional boundaries of factories and industrial plants. Everyday activities show that Internet data has a non-trivial economic value and has gained currency as a tradeable asset. Industrial organizations should anticipate that the same will be true of IIoT data. The ability to gather more and better quality industrial data is exposing new sources of value as organizations find ways to apply that data to make better decisions. For example, industrial firms can optimize asset usage intensity via more frequent observations. They can use software to geo- lock the operating envelope for expensive machinery to prevent misuse or theft, potentially lowering their insurance premiums. There are even ways to associate equipment data to with individual users thanks to the ready access of personally identifiable data. To capitalize on IIoT data opportunities, industrials need to develop strategies for different market segments – by types of data and customer. Their chances of a successful implementation will depend on four internal capabilities: 1. managing data as an asset class, 2. identifying value-propositions with data-engineers and -scientists, 3. installing scalable, technology capabilities for data sourcing and supply, 4. and, innovating in business development, intellectual property and regulatory fields related to IIoT data. These developments raise several important questions. Might it be possible for machine data to become as valuable, if not more, than the underlying hardware itself? What are the implications for industrial era, hardware-centric business practices? And, what kinds of new markets will emerge as industrial IoT data matures into a new class of tradeable assets? H OW THE II O T IS M ODERNIZING I NDUSTRIAL P RACTICES With a 200-year history dating back to the Industrial Revolution, industrial firms have evolved processes for making, selling and supporting industrial hardware at scale. They rely on tried and tested supply chain models, conformance standards and commercial frameworks for sales and warranty support activities. IIC Journal of Innovation - 41 -