Problem
Nowadays there is an urgent need for forecasting automatisms with near real-time frequency.
It is required In any industrial context, not only finance, but e.g. IOT for making prevention.
Humanativa – Tools and Expertise
Auto-Forecast Module in the TimeSeries context
- For the EDA (Exploratory Data Analysis) phase, introduces deep data analysis techniques over time
- for the Model Production phase, introduces an Auto-Forecast engine that exploits the results of the analysis of the EDA phase to automatically define a protocol for the production of an efficient model.
- For the MLOps phase: to automatically replicate Model and Pipeline in various MLOps environments in the Cloud to prepare for Production.
Benefits
- Decreased EDA time
- Decrease in Learning Time
- Decrease in re-training time (MLOps)
Use Case
- Industry: Banking
Use case: Customer insight per Up e Cross selling – Forecast - Industry: Automotive – Smartcity
Use case: Vehicle Flow forecast & Behavioural profiling - Industry: AIR Transportation – IOT
Use case: Passenger Flow Forecast