Internet of Things Development
Internet of Things known as IoT has received a lot of meanings in the past years due to the continuous evolution of different technologies that were slowly associated with this domain but it can usually describe a system of inter-connected devices and sensors that can manage itself independently based on a defined set of rules but can also be remotely managed throughout the internet.
Another crucial aspect that is strongly bounded to the idea of Internet of Things is represented by the data collection and analyzation. Big amounts of data over time can help in analyzing the behaviour of the system and also can help in making predictions for the future which can have a strong impact on the business side and not only.
Choose the best devices based on the idea, configure and integrate them into the system.
Take a deeper dive into the different types of connectivity models like Device-to-Device, Device-to-Gateway, Device-to-Cloud or Back-End Data-Sharing and implement the one that provides the highest value to our client's platform.
Dealing with big amounts of data might also imply having to cope with a lot of sensitive data and it is our duty to ensure that proper strategies will be adopted to keep the privacy status of the information that is shared inside the platform.
In a system that implies a lot of communication between a large number of devices one of our top priorities is represented by keeping this communication secure. This might include taking extra steps in order to ensure that the shared data streams are protected and also ensure that no exterior devices can access the system.
The necessity of storing big amounts of data is not a problem nowadays due to the several cloud storage options than can easily scale up depending on the needs of your platform over time.
Being in possession of a large amount of data can be very usefull if you are also able to interpret it. Using complex AI algorithms that can make use of this data can help you have a better idea of how your system is performing and also make predictions for the future.
Better understand how your system works by visualizing different types of data reports and events and receive notifications based on certain preferences.
Implement user friendly interfaces that can be easily used in order to administrate the platform.