Conquering the Interoperability Challenges in IoT

By CIOReview | Thursday, June 6, 2019

FREMONT, CA: The difficulty of data integration in IoT is amongst the biggest obstacles to IoT adoption that businesses across the globe are experiencing with the continual proliferation of the technology. The resolution to this challenge may necessitate technology leaders to reorganize and revamp their conventional IT infrastructures.

Amongst the most considerable troubles to IoT adoption is the requirement for high-capacity communication channels, the security insinuations of using innumerable smart connected devices, and the crisis of data integration. The appearance of technologies like 5G can potentially resolve the problem of the want for high-bandwidth communication. Similarly, the usage of technologies like Blockchain can perhaps help in protecting IoT networks. Organizations can also leverage cloud platforms that unify the network-wide processes on a single stage. There are plenty of platform-as-a-service (PaaS) vendors who offer resolutions for significant IoT implementation. However, the challenge caused by the call for data integration in IoT has yet to receive a definite solution.

Possessing a Clear IoT Data Integration Policy:

Businesses should, prior to embarking on their voyage, strategize for IoT data integration. The preparation of having objectives for the IoT schemes and logical strategies for the same will allow businesses to integrate data integration into the nucleus of the IoT architecture. The tactic also helps in the resultant steps of making communications between different devices and segments of the IoT channel. The procurement of this secure communications network can make sure that vital data warehouses are not swamped with unnecessary information that has little or no tactical effectiveness.

Leveraging API for IoT Communication:

IoT channels predominantly consist of smart, software-driven apparatuses that need to correspond with each other. Moreover, using application programming interfaces (API) is the simplest yet the most efficient solution to enable device-to-device communication and data integration throughout the network. Usage of API and other broadly attuned middleware can help in resolving any discrepancies in the data quality as it journeys from the periphery to the data centers. Enterprises should intend to use APIs as the principal contrivance for data integration in IoT. That is because, while the visibility, control, and automation offered by IoT technology can certainly advance business operations in the short run, truly getting an edge over the long haul means strengthening the data created by IoT to generate real impact.