Fact-checking Your IoT Use Case
In the greenfield Internet of Things (IoT) market, competition to be first is fierce and the stakes are high. Those who succeed will reap considerable rewards. But the key to fully realizing the IoT promise lies in the ability to harness valuable data and glean meaningful insights, enabling delivery of products and services that consumers desire. In other words, your new IoT use case needs to perform well and play nice with the ecosystem.
With the Internet of Things, the “things” can be literally anything… car components, medication, sports equipment, wearables, you name it. The complex, interconnected nature of the IoT has created an entirely new reality where physical devices, or things, co-exist with virtual interfaces, requiring a shift in the way that products and solutions are designed, developed, tested and deployed. While devices are the most visible elements of an IoT solution, there are many factors critical to a successful use case: backend software, algorithms, hardware, security, interoperability and connectivity. Testing an end-user device is only one piece of a complicated puzzle.
How do you know for sure that your new solution will perform as expected once it’s released into the wild? After you introduce a new IoT product is not the time to discover broken algorithms or interoperability issues. And heading back to the drawing board, empty-handed, not only results in lost time and money, but the loss of your competitive edge as well.
In Search of the Truth
Ground truth — A scientific term that describes validation of geophysical parameter data in the field, or “on the ground.”
Scientific testing requires the collection of measurable data in real-life environments to verify or disprove theoretical assumptions. For example, advances that have been made in the field of medicine would not have been possible without empirical testing and observation in the lab. The same principles apply with the IoT, where the interaction of software, hardware and environmental conditions creates many unknown variables.
In order to ensure success before going to market, new IoT use cases need ground truth validation of the complete, end-to-end platform under real-life conditions. This can be accomplished through rigorous and reproducible development and testing of all components and devices in a physical lab setting. By validating real-world scenarios in the lab, we can test not only software and algorithms, but also hardware, connectivity and interoperability.
Before taking the leap to market with your innovative IoT use case, consider pursuing a lab-driven approach to productization and testing. Achieving ground truth validation is the best way to ensure IoT compatibility and performance at all stages of the development lifecycle, enabling a successful IoT use case that delivers a positive customer experience and a wealth of valuable data from day one.
Author: Manish Mistry, VP of IoT Services, Infostretch