S-0476
AIBOOSTER - 數據賦能平台
AIBOOSTER is a collection of platforms that has built an end-to-end ecosystem of data collection, data preparation, data mining and data visualization. It associates with existing business data for dataset management, data processing and update management.
AIBook is an auto-machine learning platform which supports automated modeling with zero coding. With industry-leading algorithmic engine, it simplifies AI application process, and facilitates intelligent transformation.
AIManager is a one-stop model hosting platform for rapid model deployment, prediction, monitoring and evolvement. It enables AI application to boost business value.
BI Canvas is a data visualization and analysis platform that integrates data connection, data transformation, visualization, and analytics functions into the end-to-end workflow.
气象
工商业
发展
教育
财经
食物
人口
社会福利
零售
人工智能
区块链
数据分析
深度学习
物联网
机器学习
预测分析
机械人流程自动化
【AI+ Retail Solution】
The AI+ Retail Solutions discover your business value and actionable insight in the data. Our models help clients to identify highly responsive customers for marketing campaigns. In real-world practice, model results enhanced the long-term conversion rate by 85%. The adoption of AI in marketing helps in building consumer relationships, enhancing the customer experience, and subsequently driving business values.
【AI+ Meteorological Solution】
The AI+ Meteorological Solution is promoting the application of AI in weather forecasting and warning services to enhance the quality of weather services. We recently introduced deep learning and machine learning methods using radar to predict future rainfall and predict AQI (Air Quality Index) values by using open data. AI Manager processes the big data with an iterative approach and generates simultaneous predictions to aid the forecasters in performing weather monitoring and making a final decision on forecasting.
【AI+ Maintenance Solution】
The AI+ Maintenance Solutions discover with AI and prevent machine breakdowns before they happen. For example, we are correlating the vibration measurements with the data from different sources of sensors or IoT devices, making it possible to deduce much information on the system status well beyond what’s related to maintenance needs. It helps enable predictive maintenance, which allows industries to anticipate breakdowns and realize substantial operational savings.
數立方研究中心有限公司
2171 9696
Unit 3301 33/F, Millennium City Phase 6, 392 Kwun Tong Rd, Kwun Tong
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