Building Your First AI Predictive Analytics Pipeline: A Step-by-Step Tutorial Every data team eventually faces the question: how do we move from reactive reporting to proactive prediction? I've built predictive models across various industries, and I want to walk you through a practical implementation that you can adapt to your own data environment. This tutorial assumes you're familiar with data wrangling and basic machine learning concepts. The foundation of effective AI Predictive Analytics lies in building repeatable pipelines that can ingest data, train models, and generate predictions reliably. Unlike one-off analysis, production predictive systems require automation at every stage. Let's build one from scratch. Step 1: Define Your Prediction Target and Success Metrics Before touching any code, get crystal clear on what you're predicting and how you'll measure success. For this tutorial, let's assume we're building a demand forecast model for inventory optimization.…