Support for the planning and development of recommendation functions
Support for the planning and development of functions for suggesting possible causes of defects and optimal corrective measures through machine-learning of past defective-product data
We analyzed substantial volumes of past product defect data (text data) and developed a function to suggest possible causes of defects and optimal countermeasures using machine-learning methods. We also support data preparation for learning, construction of machine learning models, and examination of methods to verify effects. This recommendation function is expected to enable quick identification of causes and implementation of corrective measures.
Services provided by LTS
- Function planning by data analysis
- Data collection and data cleansing
- Construction of AI models (using machine learning)
- Examination of effect verification methods and support for the development of functions