Apply machine learning (ML) models on your data in Peliqan to perform predictions, detect outliers, etc.

Using ML involves 2 steps:

1. Building / training a model
2. Using the model to deliver predictions

How to build ML models

Basic ML prediction example

Lead Conversion

Churn Prediction

Sentiment Analysis

Detect Anomalies - Fraud Detection

How to deliver predictions to business teams

Write predictions to a table

Send alerts to Slack

Create an app for business users to get predictions

Write predictions to a SaaS app

Advanced ML topics

Synthetic data

Data enrichment