The Digital Twin and the Power of IoT
by Exosite, on June 20, 2017
Augmented digital twins are the virtual concept that bring true value to IoT by enabling predictive and prescriptive analytics to run on the data from physical assets. Enlightening your devices to respond to upcoming problems or detect failures is essential to provide new insights and defeat downtime for any organization that wants to evolve their market.
IoT unlocks the resources of cloud computing and the design patterns of application development. Leveraging these resources correctly evolves connected hardware from gauges and dashboards into augmented, virtual representations of physical assets that enable new, valuable insights about these assets that were not previously possible.
However, with this comes the risk of added complexity. Modeling and implementing the correct digital twin can multiply the value and utility of this model, while minimizing the risks.
We’ve explained why a digital twin comes in handy (although it may be an intimidating concept at first) and provided the four best practices for modeling your own virtual siblings. In case you need a refresher, we’ve also covered the different maturity models and reporting frequencies for you to keep in mind in order to avoid unnecessary risks. Don’t put your organization’s IoT success on the line.
Read the full white paper that provides the best practices for developing a useful digital twin and a straightforward maturity model. Build a roadmap for an optimized augmented digital twin that capitalizes on the true value of data with the paper as a guide and you’ll be well on your way to advanced connected products that provide the right data when you need it.