Architectures for the Intelligent AI-Ready Enterprise: Building real-world solutions with MongoDB
Author: Boris Bialek (Author), Sebastian Rojas Arbulu (Author), Taylor Hedgecock (Author), Jim Scharf (Author)
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2025-09-05
Language 语言: English
Print length 页数: 510 pages
ISBN-10: 1806117150
ISBN-13: 9781806117154
Book 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 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
(N.B. Please use the Read Sample option to see further chapters)
About the Author
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.
