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Artificial intelligence is only as good as the data it can reach at the moment it answers. Data for Smarter AI is the complete, practical guide to turning scattered documents, records, and organizational knowledge into something AI can search by meaning, trust as accurate, and use responsibly. Across eight parts and twenty-four chapters, you'll master vector databases, retrieval-augmented generation (RAG), and semantic search — from foundational concepts through chunking, embedding, and re-ranking strategies, to data quality, governance, security, and compliance. The final chapters deliver complete, real-world blueprints for an enterprise Q&A assistant and an e-commerce product search system. Written for engineers building their first retrieval pipeline, architects comparing vector database options, and managers accountable for privacy, cost, and compliance — no advanced mathematics required. Where an idea needs a formula, it earns one; everywhere else, it's explained in plain language grounded in examples you can adapt.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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