BHMS4472 ICT in Business - Knowledge Management

Connecting employees with in-house experts to access specific knowledge.

Utilizing machine learning to uncover hidden patterns and knowledge within company data.

Storing discovered knowledge (documents, patterns, rules) in a database for easy access.

Systems that digitize, index, and tag documents for efficient organization.

Systems that embed acquired knowledge into company processes and culture.

Leadership supporting the development of structured knowledge storage systems.

Rewarding employees for updating and storing knowledge to cultivate a culture of knowledge sharing.

Tools like portals, email, and wikis that enable collaboration and the sharing of information.

Web courses open to large numbers of participants.

Researchers, designers, architects, scientists, and engineers who create knowledge for the organization.

Systems designed to help knowledge workers create and integrate new knowledge into business operations.

Systems that enhance visualization by overlaying digital data and images onto the real world.

Systems that simulate real-life environments.

The production and distribution of information and knowledge are the main sources of wealth and prosperity.

Intangible assets such as knowledge, brands, and unique business processes are increasingly valuable to businesses.

Knowledge is a firm asset that can be valuable in different forms, locations, and situations.

Knowledge that is difficult to articulate or codify, often learned through experience.

Knowledge that can be easily documented, shared, and transferred.

Unique skills or capabilities that set a company apart in the market.

The process of how organizations learn from data, measurement, and feedback.

A set of business processes to create, store, transfer, and apply knowledge.

A process that adds value to raw data and information, transforming them into usable knowledge.

The first step in the Knowledge Management Value Chain, involving gathering knowledge from various sources.

Knowledge that isn't shared or used provides no benefit to a business, no matter the system in place.

For knowledge to be valuable, it needs to be used in decision making and aligned with supporting tools.

New knowledge should be integrated directly into how a company does business, including interactions with customers and suppliers.

Leaders are essential in turning new knowledge into practical business practices, innovation, and new opportunities.

By promoting a culture of using knowledge, leaders empower ongoing improvements to strategies and operations.

These systems aim to gather, store, share, and utilize digital information and knowledge company-wide.

These systems focus on helping specialists like engineers and scientists discover and create new knowledge.

KWS are designed to support engineers, scientists, and other specialists in discovering and creating new knowledge.

A type of AI that focuses on creating computer systems as 'smart' as humans. This vision is highly ambitious and still a distant goal.

AI systems that process data, identify patterns, and make decisions based on what they learn from that data. They don't rely on specific instructions.

A group of intelligent techniques used in knowledge management, including data mining, expert systems, machine learning and more.

A collection of rules in an expert system that represent the expertise of a human expert.

The mechanism used in an expert system to search through the knowledge base and apply rules in a specific order.

A process in an expert system where it starts with known facts and applies rules to reach a conclusion.

A process in an expert system where it starts with a goal and works backward, applying rules to find the necessary facts.

Programs designed to perform specific, detailed tasks in limited areas, like robots spray painting cars or assembling certain parts.

Intelligent agents work without direct human intervention to carry out repetitive, predictable tasks, like deleting spam email or finding the cheapest airfare. They use limited knowledge bases and some can self-adjust.

Chatbots are agent-based modeling applications, used to model behavior of consumers, stock markets, and supply chains. They can predict the spread of epidemics.

Enterprise-wide knowledge management systems need to categorize and manage structured, semistructured, and unstructured knowledge within an organization.

Enterprise Content Management Systems (ECMS) help capture, store, retrieve, distribute, and preserve documents and semistructured knowledge. They bring in external sources like news feeds and research, and provide tools for communication and collaboration.

Digital Asset Management Systems help organize and manage digital assets like images, videos, and documents within a company.

Finding and sharing expertise involves providing online directories of corporate experts, enabling employees to find the right person for specific tasks. Social networking tools expand knowledge sharing beyond the company.

Learning Management Systems (LMS) provide tools for managing, delivering, tracking, and assessing employee learning and training.