Predictive Analytics AI
Companies may use Predictive Analytics AI Data to anticipate future occurrences or scenarios and plan appropriately. This enables company executives to make better educated decisions based on Data patterns in the immediate and long term.
- Machine Data for Predictive Maintenance in Manufacturing and Automotive
- Customer demand, sales forecasting and Churn Prediction in Retail and E-commerce
- Cash-flow forecasting for strategic planning in Financial and Banking
- Optimized campaign planning in Marketing and Advertising
Time-series prediction tool developed in-house Most of these common areas may be converted to Forstack.
Advantages of Predictive Analytics
How to Set Up a Predictive Analytics System
Here are some of the most important factors to consider
Data Gathering
Through a proper Data pipeline, Time Series Data from previous occurrences linked to the use case is obtained and stored.
Pre-processing of data
The Data is converted into a format that may be used to train a model. Data Annotation cleansing and organizing are examples of pre-processing.
Training of Model
Data that has been curated is used to train a model that learns a set of rules to anticipate how the Data will evolve in the future.
Output
The model is capable of making precise predictions.