A premium US television network reaching 28 million American households works with AgileEngine on business-critical artificial intelligence and data systems. Our Data Studio experts modernized the company’s data pipelines, introducing automation and standardization to core data engineering workflows. Thanks to our AI team, the company enhanced the precision of its business analytics with predictive tools based on machine learning.
AI solutions overview AI-driven churn detection
AgileEngine’s AI Studio took full ownership of the development of our client’s churn detection tool based on gradient boosting. The tool allows product team experts to precisely define user cohorts based on the probability of the users leaving the platform. Leveraging highly scalable cloud solutions, this tool helped our client’s marketing team to move away from previously used heuristics and assumptions, maximizing precision.
Key deliverables
Churn forecasting solution leveraging predictive AI (gradient boosting and logistic regression) to determine the probability of users leaving the platform based on historical data
Batch processing for AI/ML model training and analysis
Automated monitoring of AI predictions which enables prevention of issues like bias, hallucinations, model drift, etc.
Our Data Studio experts’ work had a profound impact on the engineering workflows related to our client’s migration to a new technology stack. The version control and a standardized process introduced by our team streamlined the client’s data engineering pipelines, eliminating manual tasks and speeding up the detection and resolution of issues. With smarter automation in place, the company has seen significant improvements in data engineering speed and solutions reliability.
Key deliverables
Development of a robust and reliable data engineering solution for the client’s analytics teams
Migration of critical data pipelines to a new technology stack and architecture
Introduction of version control for the analytics projects, migrating and optimizing the data pipelines
Automation of end-to-end processes that include extraction from external data sources and execution of ad hoc Python scripts as batch jobs
