Navantia together with 5 other large companies, Repsol, Gestamp, Técnicas Reunidas, Telefónica and Microsoft− have created IndesIA, the first data economy and artificial intelligence consortium in the industrial sector in Spain, with a European vocation and will to integrate other companies and sectors.
IndesIA is a driving project that was born with the aim of positioning Spain as a benchmark in the use of data and artificial intelligence in the industrial field and promoting the development of a new economy that generates economic growth in the country.
The industrial sector in Spain is facing great challenges, such as the need to increase competitiveness by automating and optimizing industrial processes and improving sustainability through energy efficiency, the development of new materials with less environmental impact and the commitment to the circular economy. To do this, you will need to scale the use of data and artificial intelligence across your entire value chain.
The new consortium, which has the support and experience of leading organizations in this field, such as the Basque Artificial Intelligence Center (BAIC), will also work to boost employability, reducing the existing training gap in the disciplines called STEM (science, technology, engineering and mathematics, in its acronym in English), generating new highly qualified jobs and facilitating the attraction and retention of technological talent in Spain.
To achieve its objectives, the tractor project is articulated around the following dimensions:
- Identify use cases in the industrial field that can be resolved through data and artificial intelligence, demonstrating the value that these technologies and their transversality can provide.
- Create accelerator mechanisms that speed up the development process of solutions based on big data and artificial intelligence, facilitating access to the technical and economic resources necessary to implement them.
- Generate an ecosystem of start-ups, technology centers and universities specialized in research and development of artificial intelligence solutions applied to the industrial field that will allow the sharing and application of knowledge and the most efficient solutions.
- Promote the creation of a large interoperable industrial data platform that promotes the development and consumption of artificial intelligence solutions.
- Reach agreements to facilitate access to cutting-edge technologies (IoT, 5G, cloud, supercomputing, quantum, edge computing) that will enable the development of cases.
- Create a School of Data & Artificial Intelligence to be able to involve and train professionals in the industrial sector in the use and analysis of data through appropriate training itineraries, which also focus on promoting diversity, gender equality and commitment to STEM profiles.
More than 60 use cases based on artificial intelligence and data analytics have already been identified that will help drive the value chains of five large industrial areas and their business fabric: energy, automotive, naval, telecommunications and engineering. With this, almost any process in the industrial field will be susceptible to being improved from the use of data and artificial intelligence. In addition, there are many transversal synergies in the application of these technologies to common processes in all these industries, for example, in the predictive maintenance of equipment, the optimization of production planning, intelligent logistics, the development of autonomous production plants, the optimization of energy consumption in production, the development of digital twins, the robotization of industrial processes, the optimization of quality and the development of advanced materials.
Having everything ready for a good productive study session only to suddenly notice "hey my glasses are very dirty"… https://t.co/QHm8e4akln
— HawksCrispyChickenNugget @Writer'sblock Thu Jul 22 09:04:26 +0000 2021