What is it about?
This position paper summarizes the main visions, opinions, and arguments of four experienced and well-known researchers in the area of the Internet of Things (IoT) and its relation to Data Science and Machine Learning (ML) as IoT permeates the globe and becomes “very large”. The visions were raised in an enthusiastic discussion panel held during the Third International Workshop on Very Large Internet of Things Systems (VLIoT 2019), in conjunction with VLDB 2019, in Los Angeles.
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Why is it important?
This deep discussion in the panel showed the growing demands and challenges for adaptive wireless IoT communication, device orchestration and coordination, distribution of data streams, and integrated intelligence in all parts and layers of a system. And how such challenges can be faced in the new generation of IoT systems.
Perspectives
The opinions and discussions will set the stage for Cyber-Physical Systems for the next 10 years.
Prof. Dr. Markus Endler
Pontificia Universidade Catolica do Rio de Janeiro
Read the Original
This page is a summary of: Challenges and Opportunities for Data Science and Machine Learning in IoT Systems – A Timely Debate: Part 1, IEEE Internet of Things Magazine, March 2021, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/iotm.0011.2000002.
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