Descriptive, Predictive & Prescriptive
August 5th, 2020
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Smart Automation normally goes through three stages. First, "description" to undertsand the the problem being tackled and the underlying data dynamics. Second, "prediction" to validate forward-looking findings and receive human feedback. Finally, "prescription" to continuously support complex human decision-making using data-driven algorithms. The difficulty level increases exponentially for each subsequent stage. In this post you will learn strategies for each these stages from a business perspective.
People who build Machine Learning (ML) and Operations Research (OR) models often think of their models as single entities that act in isolation, and they don't realize how multiple models can be combined to produce complex real-time predictions that can dynamically adjust based on how much time a request can be delayed. In this course, we show you how to implement a smart streaming system that uses the Pub/Sub pattern to dynamically plug-in models in while running in production without affecting on-going requests.