Innovation

The companies Hyperion and Sensohive were chosen as winners of the Transmission Construction Automation Startup Challenge, with which Iberdrola sought solutions to optimise the construction of electricity transport facilities, improving the efficiency and productivity of the different processes. In order to learn a little more about them, while delving deeper into their projects and finding out what their challenges and aspirations are, we spoke to the people in charge.

The smart contract is written in virtual language and has the power to execute and enforce itself, autonomously and automatically, based on a series of programmed parameters. With blockchain technology, its main value lies in reinforcing security, transparency and trust between signatories, avoiding misunderstandings, falsifications or alterations and dispensing with intermediaries.

The COVID-19 pandemic has unleashed the potential of Cloud Computing. The accessibility that it provides to any professional to access software from anywhere has been key to the implementation of remote working for companies. In addition, the Cloud improves productivity by making processes more agile or reducing IT and maintenance costs and even minimizes the environmental impact.

A smart meter provides detailed information on consumption in order to reduce electricity bills and also increase knowledge about the status of the electricity grid, which improves its performance and the quality of service for customers. As part of the evolution towards a smart grid, Iberdrola has installed and continues to install millions of these devices in all the countries in which it operates distribution networks.

Humans use our eyes to understand the world around us. Artificial vision is a scientific discipline that aims to enable computers to achieve the same capacity, i.e. it tries to ensure that machines can perceive and understand one or more images and act in a certain way. Below, we review some of its applications.

Predictive analytics uses statistical modelling techniques, big data and machine learning to extract historical data and make predictions. In the business world, it is a highly valued technique because of the benefits it can bring in terms of identifying risks and opportunities, for example. Its application ranges from e-commerce to energy, finance and insurance, among others.