This track addresses the convergence of artificial intelligence (AI), emerging technologies and materials science to create new business paradigms for sustainability. It focuses on the use of AI to optimize the development of smart materials and their application in environmental and energy monitoring systems. These innovations aim to improve resource management efficiency, reduce environmental impact and generate sustainable solutions that not only transform industries, but also boost social welfare. Through the integration of advanced technologies, the track will examine how AI can accelerate the creation of applied knowledge in building new business models, while focusing on energy equity and environmental resilience. This approach has the potential to redefine the relationship between technology, business and sustainability, laying solid foundations for organizational and societal futures.

Fabiola Colmenero Fonseca, Polytechnic University of València (Spain), La Salle University, Mexico
Amparo Borrell Tomás, Polytechnic University of València, Spain
Andrés Salas Montoya, National University of Colombia, Colombia
Ramiro Rodríguez Pérez, National Technological Institute of México, México