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BUILDING AI‑DRIVEN DATA PLATFORMS For Retail, Healthcare, and Enterprise Applications
BUILDING AI-DRIVEN DATA PLATFORMS: For Retail, Healthcare, and Enterprise Applications explores how organizations can build scalable, cloud-native data platforms that power artificial intelligence, advanced analytics, and intelligent decision-making. Covering practical architectures, data engineering strategies, machine learning integration, governance, and real-world industry use cases, the book provides a roadmap for transforming data into measurable business value across retail, healthcare, and enterprise environments.
Madhukar Dharavath is a technology leader, AI enthusiast, and data engineering expert with extensive experience in designing next-generation data and AI platforms. Specializing in Data Engineering, Machine Learning, and Artificial Intelligence, he helps organizations leverage cloud-native architectures and intelligent automation to drive innovation, operational excellence, and business growth. Through this book, he shares practical insights and proven strategies to help technology professionals and business leaders build modern, AI-powered data ecosystems.
Madhukar Dharavath is a technology leader, AI enthusiast, and data engineering expert with extensive experience in designing next-generation data and AI platforms. Specializing in Data Engineering, Machine Learning, and Artificial Intelligence, he helps organizations leverage cloud-native architectures and intelligent automation to drive innovation, operational excellence, and business growth. Through this book, he shares practical insights and proven strategies to help technology professionals and business leaders build modern, AI-powered data ecosystems.
