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AI and data solutions for a premium TV network

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.

Technologies

  • Python, SQL, AWS Sagemaker, AWS Batch, AWS ECS, AWS EMR, XGBoost, Bash, Airflow, Snowflake, Tableau

Data pipeline modernization

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

Technologies

  • Python, SQL, Bash, Airflow, AWS Batch, AWS ECS, AWS EMR, Snowflake, Tableau

Project highlights

  • The projected accuracy of AI-driven churn prediction can exceed 95%, making it far superior to traditional approaches.
  • Retaining customers costs up to 5 times less than acquiring new ones, which makes granular, precise churn prediction integral to business growth.

Industries

Digital media, Entertainment, Subscription

Solutions

AI, Predictive analytics, Churn prediction, Data pipelines

Services

Data engineering, AI engineering

Technologies

Python, SQL, AWS Sagemaker, AWS Batch, AWS ECS, AWS EMR, XGBoost, Bash, Airflow, Snowflake, Tableau

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