| 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 |
: |
Princess Margaret Hospital |
| Trial Scale |
: |
Hemodialysis Units under maintenance of EMSD |
| Trial Duration |
: |
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 |
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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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