Book Authored

Books Authored

Practical guides for enterprise AI that survives production

Two books, one obsession: turning AI from “cool demo” into production-grade systems — with orchestration, governance, architecture, and operating models that actually scale.

AI Agents at Work
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AI Agents at Work

AI Agents at Work: The Agentic Revolution in Industry

Authors:
Kinshuk Dutta,
Dr. Scott Burk,
Harman Kaur

What it’s about: how agentic systems are built, orchestrated, governed, and deployed inside real enterprises — not just demos.

Orchestration
Operating Model
Governance
Execution
Enterprise Patterns

If your AI program keeps “stalling”, it’s usually not the model — it’s ownership, incentives, delivery workflow, and production-grade orchestration.
This book is a playbook for fixing that execution layer.

Explainer video

A 6-minute walkthrough of what the book covers: orchestration, governance, and “production-grade agentic systems.”

 

Data for AI
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Data for AI book cover

Data for AI: Data Infrastructure for Machine Intelligence

Authors:
Dr. Scott Burk
(It’s All Analytics!) &
Kinshuk Dutta

Release Date: June 16, 2025  |
Published by: Technics Publications

Overview:
Artificial Intelligence is only as powerful as the data that fuels it. Data for AI is a practical guide to architecture, pipelines, governance, and data quality needed to make AI work in real systems.

“We are in the midst of the rise and evolution of Generative AI… If you are interested in learning world-class best practices of preparing data for use in your AI environment, this book will be an invaluable resource.”

— John Thompson, Author & Professor, University of Michigan

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