Additional information
by Boris Bialek (Author), Sebastian Rojas Arbulu (Author), Taylor Hedgecock (Author)
Create AI-ready enterprise solutions with MongoDB and discover how to design intelligent architectures that transform data into innovation, efficiency, and real business value
Key Features:
- Complete guide covering GenAI to agentic AI, semantic protection to multi-agent systems
- 25+ proven AI use cases delivering measurable impact across 6+ industries
- 15+ real enterprise case studies from Novo Nordisk, Base 39, and more
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
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.
What You Will Learn:
- Design AI-ready data architectures that scale in production
- Define systems of action and explain why they matter for enterprises
- Modernize legacy systems for AI-ready, unified architectures
- Implement governance, privacy, and compliance frameworks for AI
- Explore real-world AI implementations for over six industries
- Deploy production RAG and agentic systems with MongoDB
- Apply semantic data protection in regulated industries
- Build domain-specific AI agents and intelligent copilots
- Apply MCP, causal AI, and multi-agent systems for future-ready architectures
Who this book is for:
This book is for IT leaders, enterprise architects, solution designers, and innovators ready to transform AI potential into production reality. Whether you're modernizing legacy systems, implementing scalable AI solutions, or translating AI concepts into measurable business outcomes, this book provides practical frameworks and industry-proven patterns. Basic familiarity with enterprise systems and data architecture is helpful, but deep AI expertise isn't required.
Table of Contents
AI Modernization to Innovation
What Sets GenAI, RAG, and Agentic AI Apart
The System of Action
Trustworthy AI, Compliance, and Data Governance
Modernization Using AI
Practical Applications of Agentic and GenAI in Manufacturing - Part 1
Practical Applications of Agentic and GenAI in Manufacturing - Part 2
AI-Driven Strategies for Media and Telecommunication Industries
Cognigy's Voice and Chatbots in the Time of Agentic AI
Harnessing AI to Transform the Retail Industry
Financial Services and the Next Wave of AI
RegData, MongoDB, and Voyage AI: Semantic Data Protection in FSI
Driving Client Success in Banking with GenAI Copilots
(N.B. Please use the Read Sample option to see further chapters)
