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HKUST MBA |
AI In the MBA Program
The MBA Artificial Intelligence Chatbot
The MBA Artificial Intelligence Chatbot
As a keen believer in innovation in business, the MBA program feels that it is important to be up-to-date with current technologies. We have adopted and are in the final stage of testing an AI Chatbot for use on the Program’s public website (here), which allows potential applicants to seek immediate answers to some of their frequently asked questions.
This will be the first time that AI machine learning has been applied to our daily operations. Development of the applications began in January 2019 as a collaborative effort between an outsourced vendor, the Information Systems Office of the University and Daniel, our own guru in the MBA Office. The Chatbot, named Sunny, is a virtual service representative, residing in the web browser. It is designed to react upon a candidate’s input of a meaningful clause, and subsequently to give an appropriate and accurate answer.
The application uses natural language processing (NLP) technology to quickly grab the word forms (Tagging) and identify the structure of a string of words (Parsing Tree) in a sentence given to it. At the same time, the sentiment of a question can be analyzed and then taken into account before giving a customized reply.
“The development of the Chatbot is a mixed approach of Flow-based with Intent-based enhancement, which needed minimal development efforts and is easier to insert predefined flow paths, “Daniel said. “The intent-based enhancement allowed keywords retrieval so a more personalized reply could be achieved. The application itself can be further improved as user is given the chance to rate the responses, this intent-response mapping process will enable the Chatbot to further learn.”
The Chatbot’s value is best reflected in the swiftness of its responses and convenience to candidates. Another benefit is that the most frequently raised enquiries are now trackable in a systematic manner, hence enabling us to categorize and strategically analyze common requests, in turn contributing to the improvement of our service level and work efficiency.
The AI Chatbot is planned to be launched in September 2019.
By Jason Wong, Academic Team
This will be the first time that AI machine learning has been applied to our daily operations. Development of the applications began in January 2019 as a collaborative effort between an outsourced vendor, the Information Systems Office of the University and Daniel, our own guru in the MBA Office. The Chatbot, named Sunny, is a virtual service representative, residing in the web browser. It is designed to react upon a candidate’s input of a meaningful clause, and subsequently to give an appropriate and accurate answer.
The application uses natural language processing (NLP) technology to quickly grab the word forms (Tagging) and identify the structure of a string of words (Parsing Tree) in a sentence given to it. At the same time, the sentiment of a question can be analyzed and then taken into account before giving a customized reply.
“The development of the Chatbot is a mixed approach of Flow-based with Intent-based enhancement, which needed minimal development efforts and is easier to insert predefined flow paths, “Daniel said. “The intent-based enhancement allowed keywords retrieval so a more personalized reply could be achieved. The application itself can be further improved as user is given the chance to rate the responses, this intent-response mapping process will enable the Chatbot to further learn.”
The Chatbot’s value is best reflected in the swiftness of its responses and convenience to candidates. Another benefit is that the most frequently raised enquiries are now trackable in a systematic manner, hence enabling us to categorize and strategically analyze common requests, in turn contributing to the improvement of our service level and work efficiency.
The AI Chatbot is planned to be launched in September 2019.
By Jason Wong, Academic Team
The flow-based approach directs the viewer to predefined flow paths.
Answers will be statements in full sentences; simple “Yes”/“No” responses are avoided.
UPCOMING EVENT
Global Admissions Events Fall 2019Our marketing and admissions team will travel outside of HK to recruit the next MBA class in the following major cities. If you are interested in supporting your alma mater as an ambassador at one of these locations, please let us know by emailing your contact details, location and latest job updates to mba@ust.hk.
Asia:Tokyo, Seoul, Taipei, Singapore, Mumbai, New Delhi, Bangkok, Manila, Ho Chi Minh City, Beijing, Shanghai, Shenzhen
Europe & North America: Toronto, Vancouver, New York, London, Munich, Moscow
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