Predicting Customer Churn with Accurate and Explainable AI Models

Presented by

Karthik Guruswamy, Sr. Principal Solutions Architect at H2O.ai

About this talk

A business has a product or service that attracts customers and generates revenue streams. Everything is great for a while. Now the business sees customers are churning. Business analysts and domain experts in your company are pouring over KPIs and doing surveys to identify a few trends, yet cannot quite pinpoint the mix of causes for every customer churned. Most importantly, marketing does not have a rank ordered list of potential churners next month and the reasons why they would leave - to effectively craft relevant and personalized campaigns, offers etc., and bring them back in! If this sounds like your business, this is where building high accurate AI/ML models with explainability can help greatly. Churn is a common issue. It can happen to a business for a variety of reasons - Pricing, Competition, Quality of product, Service, etc. This webinar is about building AI/ML Churn models and explaining the reasons for churn at a customer level. In this webinar, you will learn: - How to define churn in your business - Hard churn vs Soft Churn - How to structure the problem with the historical data you have - How to create training, test and holdout sets for building models - How to build AI/ML models using Driverless AI in a few min - Generate rank ordered churners with reason codes. - Identify areas (Prescription) quantitatively in your business for improving customer retention Presenter: Karthik Guruswamy, Sr. Principal Solutions Architect at H2O.ai

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.