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  • Book Overview & Buying Architectures for the Intelligent AI-Ready Enterprise
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Architectures for the Intelligent AI-Ready Enterprise

Architectures for the Intelligent AI-Ready Enterprise

By : Boris Bialek, Sebastian Rojas Arbulu, Taylor Hedgecock
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Architectures for the Intelligent AI-Ready Enterprise

Architectures for the Intelligent AI-Ready Enterprise

By: Boris Bialek, Sebastian Rojas Arbulu, Taylor Hedgecock

Overview of this book

AI is reshaping industries, yet most organizations struggle to scale beyond pilots. Architectures for the Intelligent AI-Ready Enterprise bridges this gap with practical frameworks for building AI-ready architectures that deliver lasting business value. The book helps you explore System of Action databases and see why they're revolutionizing real-time decision-making. Through real-world applications across industries, from manufacturing and healthcare to financial services and retail, you'll discover how leading organizations transform their operations. You'll learn semantic data protection techniques that enable AI in regulated industries, as well as master advanced patterns including agentic AI and multi-agent orchestration. Written by MongoDB and industry practitioners, this book combines strategy with technical depth and proven business value. You’ll modernize by enabling AI innovation while preserving existing investments, implement trustworthy AI with governance frameworks, and build scalable solutions using a unified data platform like MongoDB that delivers measurable ROI and transformation. Whether you're architecting next-generation systems or modernizing legacy infrastructure, this book provides the patterns, case studies, and expert guidance to build enterprises that’ll thrive in an intelligent future.
Table of Contents (26 chapters)
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1
Part 1: AI and Key Concepts
7
Part 2: Real-World Case Studies and Implementations
19
Part 3: The Future of Intelligent Enterprise
24
Index
25
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Summary

This chapter has explored the comprehensive transformation of retail through AI, demonstrating how modern retailers are leveraging AI to create smarter, faster, and more personalized customer experiences while driving operational excellence. From AI-augmented search that moves beyond keyword matching to intent-driven, conversational product discovery, to personalized marketing that generates dynamic content at scale using GenAI and RAG, we’ve seen how retailers are fundamentally reimagining customer engagement. The integration of demand forecasting with predictive analytics enables proactive inventory management and supply chain optimization, while the digitization of in-store interactions through technologies such as digital receipts bridges the critical gap between online and offline experiences. Advanced conversational chatbots powered by agentic AI are revolutionizing customer service by providing autonomous, context-aware assistance that continuously learns and...

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83
Tech Concepts
36
Programming languages
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