1. Predictive Maintenance: Analyze data to predict equipment failures.
2. Customer Segmentation: Identify market segments based on customer data.
3. Sentiment Analysis: Evaluate text data for sentiment and opinions.
4. Fraud Detection: Develop algorithms to identify fraudulent activities.
5. Supply Chain Optimization: Optimize processes using data-driven insights.
6. Recommendation System: Build systems suggesting personalized content or products.
7. Healthcare Analytics: Analyze healthcare data for trends and insights.
9. Economic Forecasting: Develop models for predicting economic trends.