Session 3
AI for Data Analysis and Reporting
November 01 2025
14:00 - 15:00
Dr. Bancha Yathip
Case study/ Live demo
November 01 2025
15:00 - 16:00
Dr. Dave Saurabh
Case study/ Live demo
November 01 2025
16:00 - 17:00
Dr. Aleksey Kuznetsov
Case study/ Live demo
AI for Data Analysis and Reporting
Possible Discussion Topics:
1. AI-Powered Business Intelligence Dashboards - Automated insights generation and anomaly detection in real-time data
2. Natural Language Query Interfaces - Enabling non-technical users to query databases using conversational AI
3. Predictive Analytics & Forecasting - Using machine learning models for sales, demand, and trend predictions
4. Automated Report Generation - AI systems that create executive summaries, visualizations, and narrative reports
5. Data Quality & Cleaning with AI - Automated data validation, error detection, and correction processes
6. Customer Behavior Analytics- AI-driven segmentation, churn prediction, and personalization insights
7. Financial Analytics & Fraud Detection - Real-time transaction monitoring and pattern recognition
8. AI-Enhanced Data Visualization - Smart chart recommendations and interactive visual storytelling
9. Sentiment Analysis & Text Mining - Analyzing customer feedback, reviews, and social media data
10. Performance Metrics & KPI Optimization - AI suggestions for relevant metrics and threshold alerts
11. Cross-Platform Data Integration - AI agents that consolidate data from multiple sources automatically
12. Real-Time Analytics & Stream Processing - AI for processing and analyzing data as it arrives
13. Prescriptive Analytics & Recommendations - AI systems that suggest optimal actions based on data insights
14. Explainable AI in Analytics - Making AI-driven insights transparent and interpretable for stakeholders
15. Ethical AI in Reporting - Bias detection, transparency, and responsible use of AI-generated insights
