CommLedgeETSI launches the STF 584 on "AI for IoT systems"
ETSI has launched the STF (Specialist Task Force) 584 with the participation of CommLedge (Emmanuel Darmois) as Project Manager and Expert. The objective of STF 584 is to provide an initially validated architecture that describes how IoT systems can make use of Artificial Intelligence (AI) and Machine Learning (ML) for the management and interpretation of IoT devices data over a large variety of deployment models (e.g., edge or cloud-based) while remaining interoperable, secure and manageable.
The final results will be the following Technical Reports (TR):
· ETSI TR 103 674: SmartM2M Artificial Intelligence and the oneM2M architecture
· ETSI TR 103 675: SmartM2M AI for IoT: A Proof of Concept
The analysis and early validation of the application is meant to be very focused and as little resource consuming as possible. A major focus of the work will be the contribution to the required evolutions of oneM2M and SAREF and, most importantly, to the required dissemination effort towards the oneM2M and SAREF communities. It is expected that the STF results be provided in a way that will allow oneM2M members to promote their adoption in the oneM2M specifications.
The final results will be the following Technical Reports (TR):
· ETSI TR 103 674: SmartM2M Artificial Intelligence and the oneM2M architecture
· ETSI TR 103 675: SmartM2M AI for IoT: A Proof of Concept
The analysis and early validation of the application is meant to be very focused and as little resource consuming as possible. A major focus of the work will be the contribution to the required evolutions of oneM2M and SAREF and, most importantly, to the required dissemination effort towards the oneM2M and SAREF communities. It is expected that the STF results be provided in a way that will allow oneM2M members to promote their adoption in the oneM2M specifications.