ITSS Knowledge management

Organizational Learning

Creation of Organizational Knowledge, Driver of new organizational behavior, and Sensing and responding to environment

types of knowledge

Structured, Semi-structured, and Unstructured

Structured

explicit knowledge (such as Reports, presentations, Formal rules)

Semi-structured

example: E-mails, videos

Unstructured

tacit knowledge

Knowledge Management

Set of business processes developed in an organization to create, store, transfer, and apply knowledge

Knowledge acquisition

Documenting Tacit and Explicit knowledge, Creating Knowledge, and Tracking Data from Transaction Processing Systems and External Sources

Knowledge storage

Databases, Content and Document Management Systems, and Role of Management

Knowledge dissemination

Portals, wikis, E-mail, instant messaging, Search engines, collaboration tools and A deluge of information?

Knowledge application

New business practices, products and services, and markets

Enterprise-Wide Knowledge Management Systems

Learning Management System (LMS), Content Management System, Collaboration Tools

Knowledge Work Systems

Systems for knowledge workers to help create new knowledge and integrate that knowledge into business (CAD, Virtual Reality Systems)

Intelligent Techniques

Expert Systems, Fuzzy Logics, Case-based reasoning, Genetic Algorithms, and Intelligent Agents

Artificial Intelligence

Machine Learning and artificial Neural Networks (Deep Learning)

Supervised Learning

Algorithms - Regression and Classification, Applications – Spam filtering, Social media image tagging, Speech recognition

Unsupervised

Algorithms – Clustering, Anomaly detection, Dimensionality Reduction - Applications  - Google News, segmentation of customers