2 Justification

Today's business world is changing with the adoption of Internet of Things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. However, wrapping around the variety of data coming from countless number of IoT devices, makes it complex to collect, process, and analyze the data.

Realizing the future and full potential of IoT services will require an investment in new technologies. The convergence of Artificial Intelligence (AI) and Machine Learning (ML) with IoT can redefine the way industries, business, and economies functions. AI/ML enabled IoT creates intelligent machines that simulate smart behavior and supports in decision making with little or no human interference.

Combining these two streams benefits the common person and specialists alike. While IoT deals with devices interacting using the internet, AI/ML makes the devices learn from their data and experience. So oneM2M needs to investigate what features are needed to support AI/ML capabilities in oneM2M architecture and service layers.