Exploring Knowledge Management: From Basics to AI Integration

Knowledge management encompasses collecting, organizing, sharing, and analyzing an organization's knowledge in terms of resources, documents, and people skills.

Surprisingly, the practice dates back to when ancient civilizations passed on knowledge orally. The modern concept evolved with Information Technology's rise in the late 20th century.

Tacit knowledge is personal and context-specific, often challenging to communicate. Explicit knowledge is documented and easily shared. Companies need strategies for both types.

A Harvard Business Review study found that successful KM systems implementation hinges on blending technology with incentives and organizational culture that encourages knowledge sharing.

An emerging tool in KM, Social Network Analysis maps relationships and knowledge flow within an organization, identifying key players and potential bottlenecks.

In a knowledge economy, up to 70% of the value of publicly traded companies is intangible assets, mostly knowledge-based. This underlines the strategic importance of KM.

Artificial Intelligence revolutionizes KM by automating complex processes for capturing tacit knowledge and by providing advanced analytics for better decision-making.