MACHINE LEARNING PLATFORM
Overview
Companies are confronted with digital transformation. All enterprises want to use AI to accelerate digital transformation. AI not only increases competitive strength but also shows commercial value. However, enterprises are faced with many problems such as management for computing resources, selection of framework…etc. TL dedicated to developing AI Machine Learning Platform, provide AI developer MLOps and no-code AutoML, made AI development easier, model deployment supported cross-cloud deployment and inference. Companies can choose the most effective way to improve their company by AI.MACHINE LEARNING PLATFORM
CORE TECHNOLOGY
- Machine Learning Operations (MLOps)
- Auto Machine Learning (AutoML)
- Cross-Cloud Deploy and Inference
BENEFIT
- The model deployment time is effectively reduced by 50%
- Effectively allocate computing resources.
- Facilitate smoother cross-department collaboration.
- Complete model repository to enhance management efficiency.
DeepFlow Smart Analysis Platform
MACHINE LEARNING PLATFORM
Application Status
Financial： In the face of rapid advancements in AI and emerging technologies, the financial industry is undergoing unprecedented changes and challenges. Integrating AI into various services, including account-opening processes, wealth management, targeted marketing, online lending, and anti-money laundering, enhances efficiency and service quality, providing customers with a superior financial experience.
Manufacturing：Through real-time monitoring and predictive maintenance, it's possible to immediately stop the feed when abnormal equipment data is detected to prevent the heating element from breaking. Alternatively, the heating element can be repaired in advance before restarting the furnace to reduce equipment wear and downtime. This approach not only lowers maintenance costs but also enhances production efficiency.
Medical： National Yang Ming Chiao Tung University Digital Medicine Center, by utilizing DeepFlow, along with the AutoML feature and MLOps model management mechanism, a patented AI sepsis model has been developed. This model aids in early warning for patients at risk of sepsis, allowing for timely treatment to reduce mortality rates.
Transportation： In the traditional maintenance model, faces the problem of shutdown in order to detect and excessive or insufficient maintenance. In order to solve these problems, it is hoped to obtain status data of equipment during operation and monitor mechanical equipment through various measurement methods to optimize the equipment maintenance process, reduce the scope of maintenance, save maintenance costs, reduce maintenance workload, and provide equipment reliability and Utilization rate.
CUSTOMER
Financial：Nan Shan Life Insurance Company, Mega International Commercial Bank
Manufacturing：China Steel Chemical
Medical：National Yang Ming Chiao Tung University Digital Medicine Center
Transportation：Taoyuan Metro
Government：Fiscal Information Agency, Customs Administration, Ministry of Labor, Ministry of Health and Welfare
Awards and Patents
2021 Gold Medal Award at the Taiwan Innovative Technology Expo
2024 Taiwan Excellence Award
Patent: AN AUTOMATED MACHINE LEARNING SYSTEM, METHOD AND COMPUTER READABLE MEDIUM THEREROF
Patent: TRAINING DEVICE AND TRAINING METHOD FOR OPTIMIZED HYPERPARAMETER CONFIGURATION OF MACHINE LEARNING MODEL