AI Glossary · AI Analytics
Predictive Analytics
Using historical data and ML to forecast future outcomes — churn, upsell, delinquency, part failure, agent attrition.
Related terms in AI Analytics
- Anomaly Detection
- Identifying data points or events that deviate from expected patterns — fraud, outages, churn signals, quality defects.
- Cohort Analysis
- Grouping users or accounts by shared traits and tracking behavior over time — foundational for retention, LTV and AI-experiment readouts.
- Conversation Intelligence
- Mining sales and support conversations for coaching, deal-risk and product signals (Gong, Chorus, Genesys AI, NICE Enlighten).
- Forecasting
- Time-series prediction of demand, staffing, revenue or risk; ML models routinely outperform spreadsheet baselines.
- Prescriptive Analytics
- Going beyond prediction to recommend the action that maximizes an objective; the analytics stage that connects to agentic AI.
- Segmentation
- Grouping customers or accounts by behavior and value using clustering; drives targeting, service tiering and lifecycle marketing.