In recent years, Multimodal Learning Analytics (MMLA) has offered significant opportunities for improvement in education, student teaching, and learning processes. However, the recent explosive advancement of artificial intelligence tech-nologies has strongly impacted the scenario of disciplines related to the use of information technologies. The scopes of these new technologies are still unknown. This article describes the potential for developing and researching Artificial Intelligence as a Service (AIaaS) to improve current applications and research in MMLA. We present eight types of analysis that can be enhanced by AIaaS, as well as a comparative analysis of the most well-known AIaaS currently on the market. The combination of AIaaS and MMLA tools is expected to provide a new impulse for improving teaching-learning processes, which could positively impact the overall quality of education methodologies.