Agentic AI, a new paradigm in which AI systems not only respond to commands, but also make autonomous decisions, work with other agents and act proactively, is a turning point in automation.  This session will explore how these agents can transform various sectors and functions. 

Through the cultural and creative industries, artificial intelligence is penetrating areas previously reserved for human creativity. But is it truly creative, or does it only seem like it? In this session, we will discover projects where AI participates in different creative processes, and we will reflect on the impact of this new algorithmic creativity on business, society and beyond.

Intelligent and cognitive robotics is one of the most tangible and advanced expressions of applied artificial intelligence. When AI ‘takes shape’ in the form of robots capable of perceiving, reasoning and acting, new possibilities open up to transform sectors such as industry, health, logistics, personal care and even precision agriculture. In this session, we will explore real cases, innovative projects and technological challenges that bring us closer to a future where machines and humans work together more intelligently, autonomously and safely.

This session reviews success stories where artificial intelligence generates tangible value in various sectors. We will learn about innovative projects that improve processes, boost businesses and provide new creative perspectives. It is a session for inspiration by real solutions that show the transformative potential of AI.

AI is profoundly transforming biotechnology, from drug discovery to personalised diagnostics and synthetic biology. This session shows how the combination of algorithms and data is accelerating research and opening up new scientific and industrial possibilities in the life sciences.

Synthetic data are becoming a key solution for training AI models when real data are scarce, sensitive or difficult to obtain. In this session, we will see how it is used in various fields (health, autonomous mobility, finance, generation of surrogate models for simulations and others). We will explore how it is generated, what it contributes and what impact it has on the quality of the models to achieve a more robust, secure and scalable AI.

AI initiatives often get stuck in the proof-of-concept stage and fail to scale. In this session, we will see real-world examples of how companies have managed to bring artificial intelligence solutions to their production environment in different sectors, generating operational or strategic impacts. This session will help us to understand the key success factors, common barriers and lessons learned on the path from innovation to implementation.