Executive Knowledge Management: How Leaders Turn Data into Decision in the Age of AI

Description

Organizations have more data, technology, and analytical capability than ever before. Yet leaders still face delayed decisions, repeated mistakes, fragmented expertise, lost institutional knowledge, and inconsistent execution. The problem is often not a lack of information. It is the organization’s ability to turn what it knows into coordinated action.

Executive Knowledge Management: How Leaders Turn Data into Decisions in the Age of AI presents Knowledge Management as a leadership and management discipline directly connected to decision quality, organizational performance, resilience, innovation, and responsible AI adoption.

Written for executives, senior leaders, directors, transformation professionals, and decision-makers, Cory Lee Cannon moves Knowledge Management beyond repositories and technology platforms to examine how knowledge actually flows through an organization, where that flow breaks down, and what leaders can do about it.

The book explores the progression from data to information, knowledge, decisions, action, results, and organizational learning. It examines the knowing-doing gap, knowledge flow across organizational levels, executive sponsorship and governance, workforce knowledge risk, performance measurement, and the increasing importance of trusted and authoritative knowledge in AI-enabled organizations.

Rather than offering theory alone, Executive Knowledge Management provides practical frameworks, organizational examples, executive action takeaways, a 90-day implementation roadmap, a self-assessment, knowledge-to-action checklists, and leadership reflection questions designed to move readers from understanding to action.

At its core, the book asks a consequential leadership question:

Does your organization simply possess knowledge, or can it reliably use what it knows to make better decisions and achieve better results?