Books by Kinshuk Dutta
Kinshuk Dutta’s books explore how enterprises turn data, AI, agents, and analytics into governed, production-ready business capabilities.
Trusted data foundations. Enterprise agents. Production AI.
Explore summaries and companion interfaces for each publication.
Data for AI explains why AI success depends on more than algorithms and models. The book focuses on the trusted data infrastructure, governance practices, metadata, data quality, and enterprise foundations required to make AI reliable, explainable, and usable at scale.
AI Agents at Work explores how agentic systems are changing enterprise workflows. The book examines how AI agents reason, coordinate, act, and operate within business environments while requiring clear controls, trusted context, and responsible governance.
The Deployed Data Scientist focuses on the practical realities of putting data science, analytics, machine learning, and AI into production. It addresses MLOps, deployment practices, monitoring, governance, and the operational discipline required to move from prototypes to business impact.
Across his books and articles, Kinshuk writes from the perspective of an enterprise practitioner: how systems actually get designed, governed, deployed, adopted, and measured inside real organizations.
His work does not treat AI as a standalone model problem. It treats AI as an enterprise operating problem involving trusted data, governance, architecture, semantics, workflows, controls, and production accountability.
Supporting material, implementation notes, and reference models for each publication.
Kinshuk presents regularly to technical boards, enterprise summits, and data strategy conferences.
Kinshuk Dutta co-authors and presents on the data foundations, governance models, and operating architectures required to make AI work in the enterprise.