Three years of hard work led to our fully functional development platform for IoT and Big Data solutions. The solution features data harvesting, analysis, monitoring, control, and prediction services.

First, the user can create a visual representation of the IoT system on the platform. Next, they can manage the connected devices and the device configurations. In addition, the admin can handle the required software updates for the devices. Once configured, the system harvests data using mobile, IoT, or other intelligent devices. This data enters the system through communication protocols that support different types of data. Then, the user can analyze the data using the features implemented, including auto-machine learning.

Using a complex Event Processing System, our solution processes and correlates the events. Then, it converts them into system notifications, SMS, and mail alerts. The platform features user-friendly data monitoring with a broad set of widgets incorporated in the web application. These widgets include graphs, maps, tables, and video streaming.

The user defines events based on values for the metrics fed into the system. Then, for each event, they create intelligent alerts. For example, when the temperature in the server room reaches 20 degrees centigrade, the system administrator gets a warning via SMS.

Another key feature of the platform is dashboard management. In short, the solution includes many widgets like gauge, history, and video streaming. Using them, one can generate real-time dynamic dashboards to view data from the IoT system or for reports.

Last but not least, the platform permits analysis starting from predictions made by a machine learning mechanism. With current and historical data, the system can automatically generate auto-machine learning models. The user can then rely on those models in predictions and decision-making.