@inproceedings{de_prado_ai_2019, location = {Valencia, Spain}, title = {{AI} Pipeline - bringing {AI} to you. End-to-end integration of data, algorithms and deployment tools}, url = {https://arxiv.org/abs/1901.05049v1}, abstract = {Next generation of embedded Information and Communication Technology ({ICT}) systems are interconnected collaborative intelligent systems able to perform autonomous tasks. Training and deployment of such systems on Edge devices however require a fine-grained integration of data and tools to achieve high accuracy and overcome functional and non-functional requirements. In this work, we present a modular {AI} pipeline as an integrating framework to bring data, algorithms and deployment tools together. By these means, we are able to interconnect the different entities or stages of particular systems and provide an end-to-end development of {AI} products. We demonstrate the effectiveness of the {AI} pipeline by solving an Automatic Speech Recognition challenge and we show that all the steps leading to an end-to-end development for Key-word Spotting tasks: importing, partitioning and pre-processing of speech data, training of different neural network architectures and their deployment on heterogeneous embedded platforms.}, eventtitle = {Emerging Deep Learning Accelerators ({EDLA}) Workshop at {HiPEAC} 2019}, booktitle = {Emerging Deep Learning Accelerators ({EDLA}) Workshop at {HiPEAC} 2019}, author = {de Prado, Miguel and Su, Jing and Dahyot, Rozenn and Saeed, Rabia and Keller, Lorenzo and Vallez, Noelia}, urldate = {2019-01-29}, date = {2019-01-15}, langid = {english}, }