Leveraging artificial intelligence to capture the Singapore rideshare market
BIKE-SHARING programmes face many of the issues encountered by their counterparts in the carsharing world. But in Singapore, there are a number of factors that have a unique impact on the industry. These include the regulatory structure and the significant fines for those companies who do not abide...
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sg-smu-ink.mitb-10022019-03-18T01:58:26Z Leveraging artificial intelligence to capture the Singapore rideshare market VARAKANTHAM, Pradeep BIKE-SHARING programmes face many of the issues encountered by their counterparts in the carsharing world. But in Singapore, there are a number of factors that have a unique impact on the industry. These include the regulatory structure and the significant fines for those companies who do not abide by these regulations. When this is combined with the competitive nature of the industry in one of the world's most dynamic cities, it becomes clear that first movers who leverage machine learning and prediction will come to dominate the industry 2018-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/mitb/6 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1002&context=mitb http://creativecommons.org/licenses/by-nc-nd/4.0/ MITB Thought Leadership Series eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Databases and Information Systems Technology and Innovation |
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Artificial Intelligence and Robotics Databases and Information Systems Technology and Innovation VARAKANTHAM, Pradeep Leveraging artificial intelligence to capture the Singapore rideshare market |
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BIKE-SHARING programmes face many of the issues encountered by their counterparts in the carsharing world. But in Singapore, there are a number of factors that have a unique impact on the industry. These include the regulatory structure and the significant fines for those companies who do not abide by these regulations. When this is combined with the competitive nature of the industry in one of the world's most dynamic cities, it becomes clear that first movers who leverage machine learning and prediction will come to dominate the industry |
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text |
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VARAKANTHAM, Pradeep |
author_facet |
VARAKANTHAM, Pradeep |
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VARAKANTHAM, Pradeep |
title |
Leveraging artificial intelligence to capture the Singapore rideshare market |
title_short |
Leveraging artificial intelligence to capture the Singapore rideshare market |
title_full |
Leveraging artificial intelligence to capture the Singapore rideshare market |
title_fullStr |
Leveraging artificial intelligence to capture the Singapore rideshare market |
title_full_unstemmed |
Leveraging artificial intelligence to capture the Singapore rideshare market |
title_sort |
leveraging artificial intelligence to capture the singapore rideshare market |
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Institutional Knowledge at Singapore Management University |
publishDate |
2018 |
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https://ink.library.smu.edu.sg/mitb/6 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1002&context=mitb |
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1712300656322150400 |