Industry at the Edge posts

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?

In this future context, where neither production nor distribution are optimally guaranteed, all eyes are on the so-called Active Demand Management or "Demand Response" mechanisms, which could be translated into English as "demand response".

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.

Moving towards a decentralized, intelligent and cybersecure Smart Grid involves a series of challenges that we explain in our new site

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.