This round table brings together researchers and industrial players to discuss the integration of artificial intelligence and data analysis in the emergence of innovative futures. It will focus on the convergence between these advanced technologies and their practical applications across various fields, especially health and energy. The session will highlight the interactions between recent technological advances and market needs while exploring future implications for industry and society. The discussion aims to foster constructive debate on the opportunities for cross-sectoral collaboration and strategies for navigating a rapidly evolving landscape where AI and data are key drivers of innovation and growth. The objective of this encounter is twofold: on one hand, to identify the potential and challenges related to the adoption of these technologies in key sectors such as health, energy, and connected ecosystems; on the other hand, to align sectoral expectations with technological breakthroughs to identify sustainable innovation trajectories.
Key themes to be addressed include:
The transformational impact of AI and big data analytics on real-time decision-making.
Strategies for integrating AI systems into existing infrastructures to optimize performance and sustainability.
Navigating the ethical and privacy issues raised by deploying data in interconnected environments.
Emerging collaborative models between research and industry to catalyze responsible and shared innovation.
This roundtable aims to formulate strategic recommendations and outline a collaborative roadmap, anticipating future needs and fostering harmonious development between technology and society.
