Edge computing

エッジコンピューティング

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.

Manage billions of data within the fraction of a second

The massive increase of information that has to be processed by Artificial Intelligence algorithms, will be difficult to manage through the cloud affecting its capacity and latency.

Security problems

We want all devices to work, but one error in the cloud can disable the whole network of devices connected to that server. Everything could stop working!

On the other hand, the more devices are connected to the network, the greater the volume of private information is circulating. However, thanks to Edge Computing, we can minimize the number of private information flowing on the net complying with the protection laws provided different regulations.

Overload

Many devices connected at the same time can generate an amount of traffic that can overload the system.

The value of Edge Computing

Federated learning

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.

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