Head of Data Science
Conference Day One: Tuesday, 25th September 2018
Tuesday, September 25th, 2018
Customer churn is a significant problem for many organisations, however Artificial Intelligence presents a very innovative way to help reduce this churn. Findex created an AI that helped predict which clients would churn and triggered a response to prevent this occurrence. In this session Behrang discusses how they created this AI, including some of the challenges they had to overcome with data quality and size.
- Understanding the best practice of how to use and analyse your data to put together an AI to reduce churn rates
- Overcoming issues around data quality and size to produce an effective AI that reflects accurate results
- Discussing the lessons learned from putting together the AI and how you might be able to avoid it