Books by Durai Rajamanickam
Evidence-based guides for AI and machine learning professionals
The AI Inflection Point – Volume 1: Financial Services
by Durai Rajamanickam
A public report on AI transformation in financial services — with evidence, not promises.
Seven production-grade case studies from Ramp, Nubank, Coinbase, RBC, and Stripe — with observed ROI between 2.56× and 17×.
Published by: Infinidatum Press LLC
Published: 2024
ISBN (Paperback): 979-8-9935232-3-1
ISBN (Hardcover): 979-8-9935232-2-4
ISBN (eBook): 979-8-9935232-0-0
Library of Congress Control Number: 2025922473
Causal Inference for Machine Learning Engineers: A Practical Guide
by Durai Rajamanickam
A practical guide to applying causal inference in machine learning engineering.
Master the art of causal inference with practical techniques and real-world applications for machine learning engineers.
Published by: Springer
Published: January 3, 2026
Pages: 266
ISBN-10: 3031996798
ISBN-13: 978-3031996795
$59.99
Note: These publications are separate from the core Infinidatum tools, which remain free and open. Optional purchases support continued research and tool development.
What you'll learn
- •Evidence-based ROI frameworks for executive decision-making (2.56× to 17× ROI)
- •Production-ready architecture patterns from seven real-world deployments
- •Governance & risk management for regulated industries — language that works with boards and regulators
- •Strategic decision frameworks for build vs. buy, vendor evaluation, and transformation planning
How it connects to the tools
| Tool | Book Chapter | Outcome |
|---|---|---|
| AI ROI Calculator | Chapter 3 | Stress-testing AI payback assumptions |
| AI Readiness Assessment | Chapter 5 | Identifying governance and compliance risks |
| AI Governance Checklist | Chapter 6 | Mapping accountability and audit trails |
| Build vs. Buy Framework | Chapter 4 | Evaluating custom vs. vendor solutions |
Who this is for
AI Learners
Students, researchers, and professionals learning how real AI decisions are made in production environments.
Executives & Boards
C-suite executives, board members, and strategic decision-makers who need evidence-based frameworks for AI investments.
Communities & Educators
Course instructors, meetup organizers, and workshop leaders teaching accountable AI decision-making.
What leaders say
“The ROI calculator gave us credible numbers to present to the board. No vendor spin—just evidence-based benchmarks we could defend.” — VP of AI Strategy, Major US Bank
“Used the governance checklist before our audit. It caught gaps we would have missed. Saved us weeks of rework.” — VP of Data & Analytics, Large Healthcare System
“Finally, frameworks that work with regulators. The language here matches what our compliance team expects.” — Head of AI Risk, Major Insurance Carrier
About These Books
The AI Inflection Point
In an era of AI hype, The AI Inflection Point – Volume 1: Financial Services separates reality from noise. Each of seven case studies is built on verifiable, evidence-based data — not anecdotes or vendor marketing.
The book explores how foundation models, RAG, and AI agents are rewriting finance operations, risk management, and compliance. See the book card above for full publication details (ISBN, LCCN).
Causal Inference for ML Engineers
A practical guide for ML engineers who need causal inference in production. Bridges theory and practice with hands-on techniques.
Published by Springer — actionable insights for engineers building ML systems that require causal understanding.
"This is your AI playbook — not a press release."
Seven Production Case Studies
| Case | Company & System | Core Innovation | ROI |
|---|---|---|---|
| 1 | Ramp Expense Automation | AI agents approving expenses autonomously | 5.87× ROI |
| 2 | Nubank Foundation Models | GPT-style model trained on 100M customers | 2.56× ROI |
| 3 | Coinbase RAG System | AI support grounded in verified knowledge | 3.8× ROI |
| 4 | RBC NOMI AI | Traditional bank beating fintechs with data moats | 17× ROI |
| 5 | Stripe Tax Automation | AI that invisibly calculates 16,000 tax codes | 7× ROI |
| 6 | Nubank Credit AI | Banking 100M underserved customers | 15× ROI |
| 7 | Ramp Merchant Classification | Cleaning messy data with multimodal RAG | 18× ROI |
Each case study includes: Measurable outcomes • Technical architectures • Risk and compliance controls • Lessons for executives and engineers
Book Excerpts
Now available on Amazon
On AI ROI Reality
"AI now drives over $2 trillion in potential value across financial services — but 80 percent of projects still fail. This book gives you the tools to be among the 20 percent that succeed."
On Evidence-Based AI
"Every metric. Every source. Every limitation — disclosed. Each chapter is documented with source citations, methodology disclosures, and reliability ratings."
On Proprietary Data Moats
"Foundation models trained on your own data build a competitive advantage others can't replicate. Nubank's model delivers 2.56× ROI because it encodes context no vendor LLM can match."
Ready to Master AI Strategy for Financial Services?
Seven production case studies. Evidence-based analysis with source citations. Frameworks you can use directly.
Get the Book NowFrequently Asked Questions
Common questions about The AI Inflection Point
What makes this book different from other AI books?
Every case study includes an Evidence Ledger with source citations, methodology disclosures, and reliability ratings. It's evidence-based, not anecdotal.
Who should read this book?
C-suite executives, board members, AI/ML leaders, and transformation professionals in financial services who need evidence-based frameworks for AI decision-making.
What ROI metrics are covered?
Seven production-grade case studies with detailed breakdowns of cost savings, cycle-time reduction, and business impact. See the case study table above for ROI ranges.
Are the frameworks practical and usable?
Yes! Frameworks for ROI modeling, build vs. buy decisions, governance patterns, and transformation roadmaps — many readers use them directly. See "How it connects to the tools" above.
Is there a second book coming?
Yes! Additional volumes are planned to cover more industries and advanced AI governance frameworks.
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