Davide Carneiro

2 months ago | mdpi.com | Eduardo Peixoto |Diogo Torres |Davide Carneiro |Bruno Silva

1. IntroductionIn recent years, organizations across industries have increasingly adopted Machine Learning (ML) and Artificial Intelligence (AI) to optimize their operations, improve decision-making, and automate tasks [1]. This growing integration into business processes led to a dramatic rise in computational demands, driven not only by the scale of data involved but also by the increasing sophistication of the models being deployed.