The platform offers the possibility of connecting to multiple sources of information through direct data loading or the consumption of databases, cloud containers, APIs, among others. Once the data is consumed, the platform takes care of pre-processing and transforming the data to choose from, from a battery of dozens of data science and artificial intelligence methodologies, the best forecast artificial intelligence methodologies, the best forecast for a given time series. The platform allows auditing every process and every execution of model construction and execution, in addition to offering the opportunity to explore the most representative representative metrics of model error and performance.
- Direct integration of data sources via cloud containers, APIs, databases, manual loading, among others.
- Data preprocessing and transformation.
- Use of AI and data science methodologies for forecasting processed time series.
- Audit module for each process and forecast execution.
- KPI’s generation, error monitoring and performance of machine learning models