- Personalized search & recommendations in e-commerce
- Fraud scoring in payments and lending
- Forecasting demand and pricing
- Customer support automation (chat/voice)
Each use case needs proper data governance, evaluation, and guardrails.
Examples of AI/ML/Data Applications
From personalized recommendations and fraud detection to chatbots and demand forecasting.
