AI technology is used to improve operations and operational efficiency.
IoT Data Utilization
Not only can sensor data acquired by IoT systems be visualized, but AI analysis can also discover invisible relationships.
In addition, by multiplying operational data and time-series data acquired from other devices, it is possible to predict equipment failures and other problems.
Human Resources and Workplace Reform
By analyzing employee attendance, traffic flow data, and human resource data using AI technology, the activity status of employees can be quantified.
By predicting employee motivation, health risk, retirement risk, and other factors, the system can be used to improve corporate productivity and reform work styles.
EC and Purchasing Analysis
In retail and e-commerce sites, it is necessary to forecast daily demand and purchases from various angles. AI analysis of customer POS data, behavioral data, and site browsing logs can be used to discover new KPIs.
Financial and Insurance Services
In financial and insurance services, it is important to find valuable data from huge amounts of big data.
Increasing profitability can be achieved by forecasting financial risks and improving the efficiency of screening and underwriting operations.
01.
Knowledge modelingby machine learning
02.
AI-based inference andKPI discovery
03.
Highly automateddecision-making
AI Service Product Information
Consulting
- Organize AI system implementation
objectives and requirements - Organize existing systems
- Consideration of improvement measures by AI
Design
- Determination of implementation policy
- Selection of learning model - supervised/unsupervised
- Platform Selection
- Algorithm and API selection
- Prototype Verification
Development
- Building an AI Environment
- Learning Model Implementation
- system development
- Modification of existing systems
- API Customization
Operation
- Implementation of business operations
- Measurement of Effectiveness
- Review of operational flow
- Improved accuracy and functionality