SiWare: Contextual Understanding of Industrial Data for Situational Awareness
Abstract
SiWare is an AI-powered Knowledge Discovery system, that helps unlock new insights and accelerates data-driven decisions with contextualized Industrial data. SiWare links and fuses heterogeneous data sources with an industry semantic model leveraging multiple AI capabilities to provide system-wide visibility into operational characteristics. As part of this demo paper, we describe the requirements for such a system, and deployment aspects, and demonstrate the benefits in two industrial scenarios.
Cite
Text
Bhamidipaty et al. "SiWare: Contextual Understanding of Industrial Data for Situational Awareness." International Joint Conference on Artificial Intelligence, 2023. doi:10.24963/IJCAI.2023/829Markdown
[Bhamidipaty et al. "SiWare: Contextual Understanding of Industrial Data for Situational Awareness." International Joint Conference on Artificial Intelligence, 2023.](https://mlanthology.org/ijcai/2023/bhamidipaty2023ijcai-siware/) doi:10.24963/IJCAI.2023/829BibTeX
@inproceedings{bhamidipaty2023ijcai-siware,
title = {{SiWare: Contextual Understanding of Industrial Data for Situational Awareness}},
author = {Bhamidipaty, Anuradha and Khabiri, Elham and Agrawal, Bhavna and Li, Yingjie},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2023},
pages = {7115-7118},
doi = {10.24963/IJCAI.2023/829},
url = {https://mlanthology.org/ijcai/2023/bhamidipaty2023ijcai-siware/}
}