Book
From Data to Decisions
AI Insights for Business Leaders
A practical introduction to artificial intelligence for business leaders, professionals, and readers seeking to understand AI beyond the hype. Moving from foundational concepts to implementation, data and ethics, leadership strategy, practical applications, and emerging technologies, the book bridges theory and practice to help readers make more informed decisions about how AI can create meaningful value.
Paperback • January 2025
Key Themes
AI Foundations
AI Strategy
Governance
Leadership
Applied AI
About the Book
From understanding AI to using it with purpose.
From Data to Decisions offers an accessible introduction to artificial intelligence for business leaders, professionals, and readers seeking to understand a technology that is rapidly reshaping organizations and industries. Beginning with foundational concepts such as algorithms, machine learning, and generative AI, the book helps readers move beyond terminology and hype toward a clearer understanding of what these technologies can do, where their limitations lie, and why those distinctions matter.
The book moves from understanding to implementation, examining how artificial intelligence intersects with business processes, data, ethics, security, governance, organizational culture, and strategic decision-making. It explores the importance of strong data foundations, responsible frameworks, cross-functional participation, and change management, connecting theory to real workflows, organizational goals, risks, and opportunities rather than treating AI adoption as inevitable simply because the technology is available.
Across six parts, the book progresses from introductory concepts and implementation strategies to data and ethical considerations, leadership and strategy, practical applications, and the future of artificial intelligence. Readers can move through it from beginning to end or use it as a reference for specific questions, with the goal of building the literacy and strategic understanding needed to translate technological possibility into meaningful, responsible, and sustainable value.
Inside the Book
Building the understanding needed to make better AI decisions.
From Data to Decisions takes readers from the fundamentals of artificial intelligence to the practical questions that arise when organizations begin putting those technologies to work. The book explains core AI concepts in accessible language while connecting them to data, business processes, ethics, governance, leadership, strategy, and implementation. Rather than treating AI as a purely technical subject, it examines how technology interacts with organizational goals, people, workflows, and decision-making. Through research, frameworks, comparisons, practical examples, and lessons from real-world adoption, readers gain a broader perspective on what responsible AI integration requires and how technological capability can be translated into meaningful organizational value.
Builds foundational AI literacy by explaining artificial intelligence, algorithms, machine learning, generative AI, and related technologies without requiring a technical or coding background.
Connects AI implementation to business process improvement, organizational readiness, data quality, infrastructure, and the workflows technology is intended to support.
Examines ethical and governance concerns including bias, privacy, security, regulation, shadow AI, data integrity, and the risks that accompany poorly governed technology adoption.
Explores the role of leadership, organizational culture, cross-functional participation, strategic frameworks, and change management in turning AI initiatives into sustainable value.
Moves from strategy to application through practical discussions of adoption, measurement, experimentation, emerging technologies, human creativity, and the evolving relationship between people and AI.