Jaime Vélez

As the number of connected devices increases, so does the amount of data generated. This ability to analyze data, extract insights from it and make autonomous decisions based on the analysis is the essence of Artificial Intelligence (AI) of things, also known as AIoT.

Edge Mesh proposes that all computing tasks and data be shared using a meshed network of edge devices and routers, offering many advantages, such as distributed processing, low latency, fault tolerance, greater scalability and enhanced security and privacy. These benefits are paramount for critical applications that require real-time processing, increased reliability or mobility support.

Four out of ten Spanish companies will double their investments in Edge Computing by 2022. Next we will analyze: Why is this technology making such a strong impact, what advantages does it have for organizations, what is its degree of maturity in Spain and how to scale its deployment in an efficient and simple way?

As part of the rise of the Industrial Internet, all machinery, transportation and facilities are being equipped with a new generation of instruments and sensors that generate petabytes of data and that, thanks to the advance of artificial intelligence and Edge Computing, make it possible to implement predictive maintenance applications with real-time responsiveness.

We are still at the dawn of Machine Learning and Artificial Intelligence in the Industry. Still, as we envision new use cases and develop them in our environment, we realise success in the future depends on the proper implementation today.

Advances in Artificial Intelligence continue to act as a driver of the industry's digital transition. With the power of AI and analytics pushing into IT operations, it is only a matter of time before artificial intelligence is integrated throughout all industrial processes.