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Welcome to Episode 5 of “Data Analytics and AI” by AmericaTech! In this episode, we dive into semantic modeling and explore how it’s applied in real-world scenarios. From powering intelligent search engines to enhancing recommendation systems, semantic modeling helps organizations make sense of complex data and uncover deeper insights. 🔍 What You’ll Learn in This Episode: • Semantic Models Explained: Understanding concepts, entities, and relationships. • Knowledge Graphs in Action: How semantic models map real-world connections. • Industry Use Cases: AI-powered search, personalized recommendations, and enterprise knowledge management. • Best Practices: Designing semantic models for scalability and efficiency. • Tools & Platforms: See how Neo4j, RDF, OWL, and other tools support semantic modeling. 🎯 Who Should Watch: Data analysts, data engineers, AI enthusiasts, business leaders, and students eager to understand how semantic modeling drives smarter AI and analytics solutions. 📌 Next Episode Preview: Semantic AI in Action: Building Intelligent Dashboards 💬 Join the Conversation: Have questions or insights on semantic modeling? Drop a comment and let’s discuss! 🔔 Subscribe and hit the notification bell to follow the full series. 🔗 Recommended Resources: • Knowledge Graphs Explained • Semantic Modeling Guide • Using RDF and OWL for AI Applications 📘 Source: "How Amazon Uses Semantic Models in Product Recommendations" – https://www.amazon.science 📘 Source: SNOMED CT — the world’s largest clinical health terminology system: https://www.snomed.org/snomed-ct 📘 Source: Google’s Natural Language API — https://cloud.google.com/natural-lang...