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AI-Powered Smart Decision Making
A Practical Guide to Using AI, Data & Analytics for Smarter Business Decisions
AI can analyze the data. But who decides what the data means—and what to do next?
Modern organizations have more information than ever, yet making good decisions remains difficult.
AI-Powered Smart Decision Making shows how to combine AI, data, analytics, and human judgment to turn information into insight and insight into action.
Discover a practical framework for making better decisions across strategy, marketing, sales, operations, finance, risk, and beyond.
AI is not the decision. AI improves the decision process.
Table of Contents
Introduction—The New Era of AI-Powered Decision Making
Chapter 1 — The Foundations of Better Business Decisions
Chapter 2 — From Intuition to Data-Driven Decision Making
Chapter 3 — Understanding Data for Better Decisions
Chapter 4 — Business Analytics: Turning Data into Insight
Chapter 5 — How AI Changes Business Decision Making
Chapter 6 — Building an AI-Powered Decision Framework
Chapter 7 — Asking the Right Questions: AI, Data & Decision Problems
Chapter 8 — Predictive Decision Making
Chapter 9 — Prescriptive Analytics and Decision Optimization
Chapter 10 — AI for Strategic Business Decisions
Chapter 11 — AI for Marketing and Customer Decisions
Chapter 12 — AI for Sales, Operations and Supply Chain
Chapter 13 — AI for Financial and Risk Decisions
Chapter 14 — Human + AI: The New Decision-Making Partnership
Chapter 15 — Bias, Uncertainty and the Limits of AI Decisions
Chapter 16 — Trustworthy, Responsible and Explainable AI Decisions
Chapter 17 — Measuring Decision Quality and Business Impact
Chapter 18 — Building an AI-Powered Decision Culture
Chapter 19 — Designing an AI-Powered Decision System
Chapter 20 — The Future of Smart Decision Making
Conclusion — From Data to Better Decisions
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About the Book
AI-Powered Smart Decision Making is a practical guide to understanding how artificial intelligence, data, and analytics can improve business decision making.
The book moves beyond the idea that AI simply provides automated answers. Instead, it examines the complete decision process—from defining the business problem and gathering relevant evidence to analyzing alternatives, evaluating uncertainty, making a decision, measuring its outcome, and learning from the result.
Readers will explore how AI can support strategic, tactical, and operational decisions while understanding where human judgment remains essential.
The book also addresses an important reality of AI-powered decision making: intelligent systems can still make mistakes. Poor data, biased assumptions, changing conditions, inappropriate objectives, misleading correlations, excessive confidence, and misunderstood business context can all undermine an apparently sophisticated AI solution.
For that reason, the book treats AI as part of a broader decision system involving technology, data, people, processes, governance, and organizational culture.
The result is a durable framework for using AI thoughtfully rather than simply using AI everywhere.
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About the Author
Mohammad Kamrul Hassan
Mohammad Kamrul Hassan is an IT engineer, tech consultant, and writer specializing in global politics, information technology, and travel. A former student of Voronezh State University, Russia, he currently works as an IT engineer for a UK-based international organization and collaborates with several global technology firms. Driven by a lifelong passion for international socio-political realities and long-distance travel, his writing seamlessly blends technical depth with rich, analytical global storytelling.
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