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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
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19
Part 3: The Future of Intelligent Enterprise
24
Index
25
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Real-World Case Studies and Implementations

This set of chapters demonstrates how organizations across industries are putting generative and agentic AI into practice, turning strategy into architecture and architecture into outcomes. Each case study explores how domain-specific business challenges are solved through the use of real data models, scalable infrastructure, and intelligent orchestration.

This part of the book includes the following chapters:

  • Chapter 6, Practical Applications of Agentic and GenAI in Manufacturing – Part 1
  • Chapter 7, Practical Applications of Agentic and GenAI in Manufacturing – Part 2
  • Chapter 8, AI-Driven Strategies for Media and Telecommunication Industries
  • Chapter 9, Cognigy’s Voice and Chatbots in the Time of Agentic AI
  • Chapter 10, Harnessing AI to Transform the Retail Industry
  • Chapter 11, Financial Services and the Next Wave of AI
  • Chapter 12, RegData, MongoDB, and Voyage AI: Semantic...
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