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AI Infrastructure for Real-World Deployment: From Model to Scalable Systems
ISBN Book

AI Infrastructure for Real-World Deployment: From Model to Scalable Systems

Author:
Amit Taneja

ISBN: 978-93-49929-73-9

DOI: https://doi.org/10.63282/978-93-49929-73-9


AI Infrastructure for Real-World Deployment: From Model to Scalable Systems provides a comprehensive overview of how artificial intelligence transitions from research prototypes to production-grade, scalable systems. Bridging the gap between data science and large-scale engineering, this book explores the architectures, tools, and practices that enable reliable, efficient, and secure AI deployment across industries.
Covering topics such as MLOps, model lifecycle management, cloud-native AI platforms, monitoring, and continuous integration, it serves as a practical guide for building end-to-end AI infrastructure. Readers will gain insight into how automation, orchestration, and distributed systems empower organizations to operationalize AI at scale. Designed for engineers, researchers, and technology leaders, this book offers both theoretical understanding and hands-on strategies for delivering robust AI solutions in real-world environments.


With over 15 years of experience in Artificial Intelligence, Machine Learning, Cloud Data Engineering, and Big Data Architecture, I am passionate about sharing insights on how emerging AI technologies are reshaping business ecosystems across industries. Currently, I serve as a Senior Data Engineer at UMB Bank (USA), where I lead enterprise-wide initiatives on AI-powered data modernization and cloud migration using AWS and Snowflake. Over the years, I’ve had the privilege of designing, implementing, and scaling real-world AI/ML solutions across domains such as finance, healthcare, and telecom, including projects on predictive analytics, fraud detection, and real-time decision systems. My professional journey has also included technical leadership roles at organizations such as Capital One, Charter Communications, Wipro, and IBM, where I guided cross-functional teams in building large-scale data architectures and machine learning frameworks.


Title: AI Infrastructure for Real-World Deployment: From Model to Scalable Systems
Author: Amit Taneja
Publisher: ScienceTech Xplore
Copyright: ScienceTech Xplore
Language: English
Publication Format: Online
ISBN: 978-93-49929-73-9
DOI: https://doi.org/10.63282/978-93-49929-73-9
Subject/Genre: Artificial Intelligence, Cloud Computing, and System Engineering - Academic
Pages: 1-317
Chapters: 13
Year of Publication: October 2025
URL: https://sciencetechxplore.org/978-93-49929-73-9.php
Cite As:

Taneja, A. (2025). AI Infrastructure for Real-World Deployment: From Model to Scalable Systems. ScienceTech Xplore. ISBN 978-93-49929-73-9. https://doi.org/10.63282/978-93-49929-73-9

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