Industry Applications of AI, ML & Data Science
Explore practical case studies showing how AI and data science are driving innovation across industries.
Artificial intelligence and data science are no longer confined to research labs — they are shaping how industries operate, make decisions, and deliver value.
This section of Data Science Letter highlights real-world use cases that reveal the power of applied machine learning (ML), artificial intelligence (AI), and data science (DS) across sectors.
Each post dives into a specific industry scenario — decoding the problem, the data, the algorithms used, and the business outcomes. Whether you're an aspiring data scientist or an industry professional, these articles are designed to bridge the gap between theory and practice.
Measuring Subscriber Value at Netflix: Causal Inference Meets Markov Chains link
Topic: machine learning, causal inference, Markov chain
Netflix doesn’t just acquire users — it quantifies the long-term value of each subscriber using advanced data science. This post explores how Netflix applies causal inference to isolate marketing impact and uses Markov chain modeling to predict retention behavior over time. Learn how these techniques guide smarter decisions in customer acquisition and lifecycle management.
