IA Generativa para Innovar en la Empresa: casos reales y herramientas para su implementación

10.Sep - 10. Sep, 2025 Cod. Z22-25

Through case stories, advanced tools and interactive sessions, participants will gain insights into the benefits, challenges and best practices for effectively and sustainably implementing these technologies within their organizations.

All events

Download pdf

Description

Generative artificial intelligence is revolutionizing the way businesses innovate and optimize their processes.

This Summer Course offers a practical and strategic perspective on how generative AI can be applied in key sectors. Through case stories, advanced tools and interactive sessions, participants will gain insights into the benefits, challenges and best practices for effectively and sustainably implementing these technologies within their organizations.

The course combines talks, discussion panel and a practical session focused on Retrieval-Augmented Generation (RAG) and Fine-Tuning techniques. Additionally, critical aspects such as data sovereignty, environmental impact and dependency on large technology providers will be discussed.

Objectives

Understand the impact of generative AI in various sectors and its role in digital transformation.

Explore case stories of its application in Basque companies and technology centers.

Identify barriers and risks in adopting generative AI, such as data sovereignty, regulation and sustainability.

Learn key concepts of RAG and Fine-Tuning, and their applicability in business environments.

Encourage innovation: Providing tools and knowledge for participants to apply these technologies in their own business contexts, fostering a continuous innovation environment.

All public
University student
Students not from university
Teachers
Professionals

In collaboration with

Directors

Jon Kepa Gerrikagoitia Arrien

BRTA

Ph.D. in Computer Science. Science and Technology Manager at BRTA (Basque Research and Technology Alliance). His professional career of more than 20 years has been developed jointly in the academia and manufacturing industry fields, tightly linked to Computer and Data Science within the framework of Business Intelligence based in Internet, combining the scientific and technology vision.