This report provides an overview of recent advances in customer intelligence by examining 10 industrial case studies. These case studies were selected from the consulting practice of Grid Dynamics and public reports to cover the most important, common, and innovative trends in data science and machine learning methods used in modern customer intelligence and marketing analytics.The report covers the following 4 major areas of active research and industrial adoption:
- Deep learning models that incorporate a wider range of signals and data, including textual and visual data.
- Deep learning models that process sequences of events, including User2Vec models.
- Reinforcement learning models for dynamic and strategic optimization of marketing actions.
- Econometric and deep learning models that quantify financial and operational risks.
