Alejandro Cantos

Conf42: Machine Learning 2023

Introduction to MLOps at the Edge

With the exponential development in hardware processing capacity and the commoditization of AI models, the edge has emerged as an alternative to the cloud for secure and private real-time AI deployment. Thus, the efficient and automated control of models requires new specialized working methods.