ENTERPRISE AI SYSTEMS: FROM DATA ENGINEERING TO PRODUCTION-GRADE INTELLIGENCE | Production-Grade AI Intelligence | AGPH Books
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Book Title: ENTERPRISE AI SYSTEMS: FROM DATA ENGINEERING TO PRODUCTION-GRADE INTELLIGENCE | Production-Grade AI Intelligence | AGPH Books
Enterprise AI Systems: From Data Engineering to Production-Grade Intelligence is a comprehensive and forward-looking guide that explores the complete lifecycle of enterprise artificial intelligence, from robust data engineering foundations to the deployment of scalable, production-ready intelligent systems. Designed for students, researchers, software professionals and technology leaders, the book presents a structured understanding of how AI solutions are conceived, developed, deployed and governed within modern organisations. It examines data pipelines, machine learning, cloud infrastructure, MLOps and generative AI while demonstrating their practical integration into enterprise environments. Readers gain valuable insights into model development, deployment strategies, monitoring, automation and the adoption of Large Language Models, Retrieval-Augmented Generation, vector databases and AI agents. Equal emphasis is placed on governance, ethical AI, security, privacy, compliance and risk management, ensuring that innovation remains responsible and sustainable. The book combines conceptual clarity with practical relevance, enabling readers to bridge the gap between theoretical knowledge and industrial implementation. With its logical progression, contemporary technologies and enterprise-focused perspective, Enterprise AI Systems: From Data Engineering to Production-Grade Intelligence serves as an essential reference for building resilient, scalable and intelligent AI ecosystems that support informed decision-making, operational excellence and long-term digital transformation across diverse industries.
About The Publisher:
AGPH Books is a professional self-book publishing house based in Central India, specializing in academic, professional, fiction, and non-fiction books in print, digital, and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children's books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.
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About the Author
Gopichand Talluri is an AI and cloud data engineering professional specializing in large language model (LLM) systems, cloud-native AI platforms, enterprise data engineering, MLOps, and financial technology compliance. He holds a Master's degree in Computer Science from the University of Central Missouri and a Bachelor's degree in Engineering from Osmania University. He is also certified in Amazon Web Services (AWS) and Google Cloud Platform (GCP), strengthening his expertise in modern cloud architecture, scalable data systems, and enterprise AI implementation. His professional and research work focuses on the operationalization of LLMs in regulated enterprise environments, with emphasis on financial compliance, AI governance, monitoring, drift detection, fraud analytics, retrieval-augmented generation, and metadata-driven ETL optimization. His technical contributions are positioned at the intersection of artificial intelligence, cloud infrastructure, intelligent automation, and responsible AI adoption for high-impact business and compliance use cases. As an author and researcher, Gopichand is developing scholarly work that addresses the practical challenges of deploying, governing, and scaling AI systems in and enterprise environments.
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