With multiple IoT Platform available, we believe the IoT application use cases will define the right platform. We have a rich partner ecosystem for IoT platforms including those offered by the IPS in the region.
An IoT data collection platform will efficiently collect data from various sensors, devices and gateways. For this communication channel is important and can use cellular (NB-IoT, LTE-M, etc.) and non-cellular (LoRaWAN) technologies. The IoT platforms can be considered as a middleware, the purpose was to function as a mediator between the hardware and application layers. Its primary tasks included data collection from the devices over different protocols and network topologies, remote device configuration and control, device management, and over-the-air firmware updates.
We enable the platform to be used in real-life heterogeneous IoT ecosystems. IoT middleware is expected to support integration with almost any connected device and blend in with third-party applications used by the device. This independence from underlying hardware and overhanging software allows a single IoT platform to manage any kind of connected device in the same straightforward way.
IoT solutions are getting inevitably more complex and dynamic with Artificial Intelligence and Edge Computing. Edge computing allows for more efficient machine learning by distributing the processing load to the sensors and other edge devices. For example computer vision for facial recognition can be done at the edge. This edge computing topology can reduce latency for time-sensitive applications, support IoT performance in low-bandwidth environments and ease overall network congestion. The future will be IoT platform with AI based edge computing..