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The Last Mile: Where Artificial Intelligence Meets Reality
Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this “last mile” of implementation lie many complex challenges that may ma...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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JMIR Publications
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351266/ https://www.ncbi.nlm.nih.gov/pubmed/31702559 http://dx.doi.org/10.2196/16323 |
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author | Coiera, Enrico |
author_facet | Coiera, Enrico |
author_sort | Coiera, Enrico |
collection | PubMed |
description | Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this “last mile” of implementation lie many complex challenges that may make technically high-performing systems perform poorly. Instead of viewing artificial intelligence development as a linear one of algorithm development through to eventual deployment, there are strong reasons to take a more agile approach, iteratively developing and testing artificial intelligence within the context in which it finally will be used. |
format | Online Article Text |
id | pubmed-7351266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73512662020-07-15 The Last Mile: Where Artificial Intelligence Meets Reality Coiera, Enrico J Med Internet Res Viewpoint Although much effort is focused on improving the technical performance of artificial intelligence, there are compelling reasons to focus more on the implementation of this technology class to solve real-world applications. In this “last mile” of implementation lie many complex challenges that may make technically high-performing systems perform poorly. Instead of viewing artificial intelligence development as a linear one of algorithm development through to eventual deployment, there are strong reasons to take a more agile approach, iteratively developing and testing artificial intelligence within the context in which it finally will be used. JMIR Publications 2019-11-08 /pmc/articles/PMC7351266/ /pubmed/31702559 http://dx.doi.org/10.2196/16323 Text en ©Enrico Coiera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 08.11.2019. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Viewpoint Coiera, Enrico The Last Mile: Where Artificial Intelligence Meets Reality |
title | The Last Mile: Where Artificial Intelligence Meets Reality |
title_full | The Last Mile: Where Artificial Intelligence Meets Reality |
title_fullStr | The Last Mile: Where Artificial Intelligence Meets Reality |
title_full_unstemmed | The Last Mile: Where Artificial Intelligence Meets Reality |
title_short | The Last Mile: Where Artificial Intelligence Meets Reality |
title_sort | last mile: where artificial intelligence meets reality |
topic | Viewpoint |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351266/ https://www.ncbi.nlm.nih.gov/pubmed/31702559 http://dx.doi.org/10.2196/16323 |
work_keys_str_mv | AT coieraenrico thelastmilewhereartificialintelligencemeetsreality AT coieraenrico lastmilewhereartificialintelligencemeetsreality |