More than 140 companies benefit from data science and artificial intelligence programmes backed by the Government of Navarra
More than 100 companies in Navarra have benefited from the three training programmes on data science and artificial intelligence, promoted and subsidised by the Department of Industry and Ecological and Business Digital Transition. These programmes, aligned with the Navarra S4 Smart Specialisation Strategy, form part of the industrial and technological transition roadmap aimed at harnessing the opportunities arising from two major challenges: the ecological and digital transitions.
In total, 141 Navarrese companies have benefited from these three initiatives, although some have taken part in more than one programme.
The Data Capture programme, the Data Science Laboratory and NavIA Lab S4 (AI Laboratory) are initiatives of the Directorate General for Energy and Digital Transition, Business R&D&I and Entrepreneurship and are managed by the public company NASERTIC. Their objective is to help Navarrese companies, particularly industrial companies, in their digital transformation processes through the practical incorporation of advanced technologies based on data science and AI, with the aim of improving their competitiveness, efficiency and sustainability.
In this regard, the Director General, Garbiñe Basterra, stated at the closing session that “our duty, as a Public Administration, is to accompany and facilitate this digitalisation process and to support training and upskilling. I hope that, with this training, you can identify opportunities where data can be used and processed to introduce significant improvements in your processes.”
The second edition of NavIA Lab S4, which has recently concluded, involved 35 participants from the 10 companies in Navarra: AS Catalizadores; Ekolo; Florette Ibérica; Heliosolar; Ingredalia; JP Industrial; Lizarte; Replasa; Smurfit Westrock Sangüesa; and Volkswagen Navarra.
This artificial intelligence laboratory is aimed at encouraging the adoption of solutions in these technologies focused on specific business processes and content generation, including: advanced generative AI applications for chatbots; AI‑based image creation for creative solutions using different tools; advanced techniques such as Retrieval‑Augmented Generation (RAG) for the interpretation of complex data; custom AI models developed with platforms that enable the development of AI solutions for tasks specific to each company; and RPA (Robotic Process Automation) to enable the development of AI solutions and improve efficiency. In total, 18 companies have already benefited from this programme across its two editions.
Specific training in data analysis and management
In the sixth edition of the Data Science Laboratory, the theory and methodology modules have been completed, in which participants received training on data analysis and on methodology for the implementation of projects based on data science that were developed on the basis of each industry’s business activity.
The application module is currently underway, in which participating companies are receiving external consultancy in order to achieve the objective set out in each data science project designed by each company. In this edition of the Laboratory, a total of 25 people took part from the companies: Auriga Iberia; Fuvex; KYB Europe GmbH; Limagrain; Solidus; Tafame S.A.; Talleres Lantegui; TASUBINSA; Viscofan; and Volkswagen Navarra. In total, 95 companies have already benefited from this programme across the six editions held.
Both NavIA S4 and the Data Science Laboratory apply the Learning by Doing methodology, based on hands‑on learning within a real and specific context. Both programmes include a theoretical block and a more practical one that includes tutoring and consultancy, in which companies receive personalised guidance to develop and implement solutions effectively in their processes or projects according to their specific needs.
Finally, there is the Data Capture programme, an online training course that is open all year and has two levels: initiation and experimentation. The content of this programme provides an introduction to fields such as Data Science, IoT and Big Data, providing participants with the basic knowledge needed to begin collecting data and develop future projects that generate valuable insights for their day-to-day operations. In this way, an overview of the entire process of a data science project is provided, with a particular focus on the data acquisition and validation phase. Since its launch in 2023, people from more than 85 Navarrese companies have taken part.
Source: navarra.es
