Next-Generation Enterprise Architecture: Integrating AI, Data, and Decision Systems presents a forward-looking blueprint for transforming enterprise architecture from static documentation into an intelligent, adaptive decision system. The book argues that modern enterprises must move beyond traditional IT alignment toward intelligence enablement powered by AI, real-time data platforms, and event-driven architectures.
It explores how to design AI-ready systems with embedded intelligence, interoperable models, lifecycle governance, and scalable decision services. Emphasizing trust, traceability, and compliance, the book highlights governance-by-design, auditability, and resilience as foundational architectural principles. A unified reference architecture connects data infrastructure, AI models, decision orchestration, workflow automation, and regulatory controls into a cohesive framework.
Designed for enterprise architects, CIOs, and digital transformation leaders, this book provides practical strategies and architectural patterns for building resilient, scalable, and accountable enterprise systems in an era defined by intelligent automation and real-time decisioning.
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Prasanna Kumar Natta, Yashwanth Boddu
Prasanna Kumar Natta is an Enterprise Systems Architect and AI-driven supply chain innovator at Walmart Global Tech. As a Staff Software Engineer and Engineering Architect, he leads large-scale digital transformation initiatives powering import operations, order management, regulatory compliance, and automated fulfillment across one of the world’s most complex retail supply chain ecosystems.
His work supports Walmart’s $680B global operations, enabling AI-driven inventory intelligence, predictive workflows, supplier automation, and national-scale FSMA 204 traceability compliance across billions of vendor transactions annually. He has architected and modernized mission-critical platforms, including Order Central and Import PO Management systems. Prasanna also played a key engineering leadership role in Walmart’s vertically integrated Milk Plant initiative, strengthening end-to-end traceability and operational control. A peer reviewer and published author, he specializes in AI, enterprise architecture, and resilient global commerce infrastructure.
Yashwanth Boddu is a Senior Project Engineer specializing in data engineering, distributed systems, and applied artificial intelligence for large-scale healthcare and transportation platforms. His work focuses on real-time analytics, cloud-native data architectures, and scalable machine learning systems that power mission-critical enterprise operations.
He is a NIPES Fellow and an active member of SIEEE, with contributions to technical research, scholarly publications, and enterprise-scale AI platform development. Yashwanth has led complex cloud migration and data platform initiatives, translating advanced research concepts into high-impact engineering solutions adopted in industry systems.
He writes to bridge the gap between academic AI research and real-world engineering, advancing scalable data infrastructure and intelligent systems for next-generation digital enterprises.
