We use around 10 intelligent objects everyday, but we will quadruple this number in the coming years.
The amount of objects connected to the network will increase. From scales that are connected to your smartphone and monitor your weight, to fridges capable of registering expiration dates able to notify you when your product is about to expire!
New technologies such as 5G make any everyday object suitable to be connected to the network. Soon, we will see how the number of nodes that manages the connection will increase. That is where Edge Computing comes into play. The massive growth of information will revolutionize the way to manage it.
Challenges with the Internet of Things.
The value of Edge Computing
Working with cognitive applications for computer vision
Edge Computing allows to optimize sensor technology, like correcting automatically the position of the camera lenses and identifying patterns within a few seconds.
Adaptive solutions: continuously tune and update AI models
Imagine an algorithm capable of constantly adapting itself to the changing environment. Edge Computing is increasing the device autonomy, allowing it to make decisions without having to depend on the server.
We offer companies and service providers to bet on the cloud hyperservice.
Guaranteeing an exceptional experience for their customers: from shorter loading time to smart web forms. The introduction to Edge Computing can create a unique brand experience.
Machine learning requires a data center where all the information is managed. We are taking one step further. Federated learning allows Artificial Intelligence to learn in a collaborative way, keeping the training data in the device and separating machine learning from data storage in the cloud.