Trial Project |
Machines Predictive Maintenance with AI
(REF : P-0093)
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Matched I&T Wish |
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Matched I&T Solution |
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Solution Feature |
- Spare Parts Forecast: the forecast with AI will be more accurate than traditional statistical methods, thus enable better stock availability
- Predictive maintenance: Incorporate the data from previous maintenance causes and faults with spare parts availability to schedule predictive maintenance with AI
- Understand users’ free text remarks: By using NLP (Natural Language Processing), most of the users’ remarks can be understood by the AI to summarize and categorize the currently unstructured data.
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Trial Information |
Trial Site |
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Princess Margaret Hospital |
Trial Scale |
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Hemodialysis Units under maintenance of EMSD |
Trial Duration |
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6 Nov 2019 to 25 Dec 2020 |
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Info on I&T Solution Provider |
Solution Provider | : | Dayta AI Limited |
Address | : | 716C, 7/F, Enterprise Place, 5 Science Park West Avenue, Hong Kong Science Park, Shatin, N.T., HK |
Contact Person | : | Patrick Tu |
Position | : | CEO
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Tel | : |
9862 8809
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Email | : |
patricktu@dayta.ai
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Webpage | : |
http://dayta.ai
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