Architectures for the Intelligent AI-Ready Enterprise
Building real-world solutions with MongoDB
Published on 5. September 2025
Book
Paperback/Softback
510 pages
978-1-80611-715-4 (ISBN)
Description
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 DescriptionAI 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 forThis 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.
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 DescriptionAI 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 forThis 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.
More details
Language
English
Place of publication
Birmingham
United Kingdom
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 33 mm
Weight
1400 gr
ISBN-13
978-1-80611-715-4 (9781806117154)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Boris Bialek has worked in the IT industry since the 1990s and was one of the initial drivers of Linux in Europe, delivering the first SAP port to Linux, conducting the first benchmarks, and securing the first clients. Since then, he has led product and development teams across IBM and FIS, driving innovation for both the end product and development productivity. Boris Bialek joined MongoDB in 2019, igniting a focus on industry solutions based on MongoDB's document model. Promoted to global field CTO and VP of industries, he drives technical design. He works directly with numerous clients, helping them gain the benefits of the MongoDB Atlas data platform. Boris holds a master's in computer science from the Karlsruhe Institute of Technology. Sebastian Rojas Arbulu is an industry solutions specialist at MongoDB, where he collaborates with numerous stakeholders across diverse industries to help customers realize the transformative value of MongoDB through tailored, data-driven solutions, particularly for AI integration. Sebastian also leads his team's content strategy, including numerous additions such as blogs, white papers, magazines, and other thought leadership pieces. With a background in IT consulting, marketing, and digital transformation, among other areas, he has extensive experience in identifying customer needs and developing innovative solutions that prepare data for intelligent applications and unlock new possibilities. He holds a bachelor of business administration degree. Taylor Hedgecock is a strategic program leader and transformation partner who turns vision into velocity. With a career spanning startups to multinationals, she brings a mix of operational rigor, narrative clarity, and cross-functional orchestration. At MongoDB, she has led high-impact programs across AI, partner ecosystems, and services modernization, often serving as the connective tissue between vision and execution. Her work has guided C-level priorities, enabled go-to-market readiness, and driven large-scale change, establishing her as a trusted leader in aligning stakeholders, translating strategy into story, and driving outcomes that last. Taylor currently serves as senior program manager on the industry solutions team, partnering with ISVs and AI innovators to bring next-generation solutions to market. Previously, she was chief of staff for professional services leadership, where she helped launch new offerings and guided modernization strategy, shaping MongoDB's vision for applying AI to its hardest problems.
Content
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
Delivering Business Value with AI in Insurance
Automating Insurance Underwriting with Fireworks AI and MongoDB
AI-Powered Transformation of Healthcare and Life Sciences
Enterprise Document Management with MongoDB and AI
Democratizing Agentic AI for Enterprise with Dataworkz and MongoDB
Outlook: Beyond Today's AI
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
Delivering Business Value with AI in Insurance
Automating Insurance Underwriting with Fireworks AI and MongoDB
AI-Powered Transformation of Healthcare and Life Sciences
Enterprise Document Management with MongoDB and AI
Democratizing Agentic AI for Enterprise with Dataworkz and MongoDB
Outlook: Beyond Today's AI