Trial Project P-0093
Matched I&T Wish Equipment Maintenance Model using Big Data and Artificial Intelligence
(REF: W-0092)
Matched I&T Solution Machines Predictive Maintenance with AI
(REF: S-0164)
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.
Trial Information
Trial Site : Princess Margaret Hospital
Trial Scale : Hemodialysis Units under maintenance of EMSD
Trial Duration : 6 Nov 2019 to 25 Dec 2020
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
Tel: 9862 8809
Email: patricktu@dayta.ai
Webpage: http://dayta.ai