@inproceedings{moor_iot_2019, title = {{IoT} meets distributed {AI} - Deployment scenarios of Bonseyes {AI} applications on {FIWARE}}, doi = {10.1109/IPCCC47392.2019.8958742}, abstract = {Bonseyes is an Artificial Intelligence ({AI}) platform composed of a Data Marketplace, a Deep Learning Toolbox, and Developer Reference Platforms with the aim of facilitating tech and non-tech companies a rapid adoption of {AI} as an enabler for their business. Bonseyes provides methods and tools to speed up the development and deployment of {AI} solutions on low power Internet of Things ({IoT}) devices, embedded computing systems, and data centre servers. In this work, we address the deployment and the integration of Bonseyes {AI} applications in a wider enterprise application landscape involving different applications and services. We leverage the well-established {IoT} platform {FIWARE} to integrate the Bonseyes {AI} applications into an enterprise ecosystem. This paper presents two {AI} application deployment and integration scenarios using {FIWARE}. The first scenario addresses use cases where edge devices have enough compute power to run the {AI} applications and there is only need to transmit the results to the enterprise ecosystem. The second scenario copes with use cases where an edge device may delegate most of the computation to an external/cloud server. Further, we employ {FIWARE} {IoT} Agent generic enabler to manage all edge devices related to Bonseyes {AI} applications. Both scenarios have been validated on concrete use cases and demonstrators.}, eventtitle = {2019 {IEEE} 38th International Performance Computing and Communications Conference ({IPCCC})}, pages = {1--2}, booktitle = {2019 {IEEE} 38th International Performance Computing and Communications Conference ({IPCCC})}, author = {Moor, Lucien and Bitter, Lukas and Prado, Miguel De and Pazos, Nuria and Ouerhani, Nabil}, date = {2019-10}, note = {{ISSN}: 1097-2641}, keywords = {{AI} application deployment, Artificial Intelligence, Bonseyes {AI} applications, Edge Computing, {FIWARE}, Internet of Things, Internet of Things devices, {IoT}, Machine Learning, artificial intelligence, artificial intelligence platform, business data processing, cloud computing, deep learning toolbox, developer reference platform, edge device, embedded systems, enterprise ecosystem, well-established {IoT} platform {FIWARE}}, }