Knowledge-driven analytics and systems impacting human quality of life

Ukil, Arijit (TCS Research and Innovation, Tata Consultancy Services, Kolkata, India) ; Marin, Leandro (University of Murcia, Spain) ; Jara, Antonio (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Farserotu, John (Centre Suisse d’Electronique et de Microtechnique (CSEM), Switzerland)

The advent of artificial intelligence (AI), Internet of Things (IoT), powerful computational hardwares like graphics processing units, affordable sensing devices like smart bands, wearables, smartphones pave ways for large number of useful and intelligent applications hitherto never commonly envisaged. However, it is felt that applications, which positively influence human life and society, need distinct attention from the perspective of the researchers, application developers as well as industry. It is understood that knowledge-driven initiatives in terms of technology, application and practical deployment have strong capability to enable long term human-centric convergence of cyber-physical systems. Our endeavor is to discuss those finer details, research directions and application development aspects of analytics and systems intended for impacting human quality of life.


Mots-clés:
Type de conférence:
short paper
Faculté:
Economie et Services
Ecole:
HEG-VS
Institut:
Institut Informatique de gestion
Classification:
Informatique
Adresse bibliogr.:
Beijing, China, 3-7 November 2019
Date:
2019-11
Beijing, China
3-7 November 2019
Pagination:
Pp. 2989-2990
Publié dans:
Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM19)
DOI:
ISBN:
9781450369763
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 Notice créée le 2020-02-14, modifiée le 2020-10-27

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