The aim of this guide is to accelerate the use of data and Artificial Intelligence throughout the value chain of the Spanish industrial sector to make it more competitive and sustainable.
IndesIA, the association for the application of Artificial Intelligence in industry, has presented its IndesIA Data & IA Framework with the aim of facilitating and contributing to the Spanish industrial sector, being able to promote and implement a data culture and apply it in its activity and in business, thanks to successful practices, practical application and methodologies based on the experience of companies of the consortium.
This event, which was opened by IndesIA president Valero Marín, was attended by institutional representatives and associated companies: Ferrovial, Repsol, Inditex, Gestamp, Navantia, Telefónica, Microsoft, Airbus and Técnicas Reunidas.
All of them have shared, at the headquarters of Fundación Telefónica, their reflections on the role of Artificial Intelligence in the entire value chain of companies in the Spanish industry and on how it could totally change the approach to possible returns or results and achieve new ways of business, efficiency and sustainability.
The IndesIA Guide has been created to help other companies in the industrial sector to face the challenges of Artificial Intelligence with greater solvency, thanks to the experiences that have been shared within the same part of the companies which are part of this group. For each challenge, the guide offers solutions based on proven real experiences and successful practices that can be useful for public institutions, startups, or other large companies in the sector.
Cristina Cruz, our Director of Data and Architecture, has been in charge of representing Ferrovial at one of the round tables, where she shared as best practice our development of artificial intelligence algorithms linked to image processing and neural networks to improve transmission lines explorations. “For this, a combination of drones flying autonomously with embedded artificial intelligence was provoked to be able to take images and videos in real time, being capable of detecting all the elements of a transmission line that could have a defect or deficiencies,” she added.
