| I&T Solution |
Site Trial of E&M Data Standardization for AI Training
(REF: S-1713) |
| Trial Project |
|
| Solution Feature |
- Key Features: Establishes standardized data generation, storage, and naming conventions Ensures data quality, integrity, and traceability Improves the efficiency and reliability of data processing and analysis
- Innovative Technology Elements: Leverages advanced data lake and cloud storage technologies Implements automated data pre-processing and transformation pipelines Adopts machine learning models for intelligent data analysis
- Technical Specifications: Supports multiple data formats and sources (e.g., sensors, manual input, external feeds) Provides data version control and change management capabilities Offers a scalable and efficient system architecture
- E&M Data Standardization Effectiveness: Enhances data accuracy and consistency Accelerates data-driven decision-making processes Strengthens the insights and predictive capabilities of E&M data analysis
- AI Model Testing Effectiveness: Comprehensively evaluates the performance and robustness of AI models Establishes benchmarking procedures to support continuous monitoring and improvement Ensures the reliability and trustworthiness of AI applications
|
| Trial Application and Expected Outcome |
- SA&D report, Approach for data generation, data collection and data naming convention
- System installed in one selected site Local / Cloud server deployment On-site evaluation and fine-tuning
- Data Processing and Cleaning
- AI Model Development
- Standardization Report and Final Report
|
| Info on I&T Solution Provider |
| Solution Provider | : | 香港工業人工智能及機械人研發中心 | | Address | : | Unit 1207-1211,12/F, Building 19W, Hong Kong Science Park, Shatin, NT, Hong Kong | | Contact Person | : | Cola Lam |
| Position | : | Head, Operations | | Tel | : | 39782904 | | Email | : |
colalam@hkflair.org |
|
