1. Knowledge Management

2. Basic Concepts
KM is a process through which organizations generate value from their intellectual and knowledge based assets.
Km is a process of organizational learning and problem solving
KM is facilitated by IT
KM helps organizations identify, select, organize, disseminate & transfer important information and experience.
The information available in knowledge base is generally unstructured and have information both from internal and external sources
Example: The knowledge of better construction and land acquisition techniques was a core competency for DLF (major Real Estate player in India)

3. Knowledge Management Process
Knowledge Acquisition
- Identify / generate new insights, ideas & routines
Unstructured docs, mails, texts & contributions
Discovering patterns/hidden facts in corporate data
Knowledge Storage
Database or central repository
Document mgt system that digitize, index and tag data to a systematic framework
Expert System can preserve knowledge acquired by organizations during their lifetime
Knowledge Dissemination
Sharing for right and effective decision making
Collaborative technologies, groupware can be used
Knowledge Application
- Apply this existing knowledge for adding business value

4. KM framework Internal Biz Opn. Data Repository External Env Web R & D
Technology
Acquire
Store
Disseminate
Apply
Extract
Extract
Inputs
Inputs
ERP/CRM Database
Disseminate
Disseminate
Share & Apply
Share & Apply

5. Challenges in KM Getting employees on board
- Major prob. In getting employees participate
in the KM process
- Ask employees to share their everyday
knowledge & experiences
- Should be easy and natural for employees
Updating knowledge base
- Knowledge erodes over passage of time
- Constantly update /upgrade knowledge
Data Deluge
- Participation of E/C/S in an unguided and moderated
manner can lead to contradiction and confusion
-Quality data should be extracted diligently w/o over-load

6. Tools of Knowledge Management
KM activities can be clubbed together in three broad categories: Enterprise Knowledge Portals - Enterprise solution, content mgt sys., portals, search engines & collaborative tools Knowledge work Systems - CAD, CAM, dimensional visualization tools used by engineers, scientists & doctors Intelligent Techniques - Data mining, models to solve problems, gaining business insights

7. Intelligent Techniques of KM
Artificial Intelligence
Expert Systems
Neural Networks
Fuzzy Logic Systems
Genetic Algorithms
Intelligent Agents

8. Managerial Issues of KM
Providing strategic advantage
Top management support
Knowledge relevance
Motivation to participate
Financial cost /benefit, investment
Verification of knowledge contributions
System design of KM
Sustainability
Compatibility with existing IT infrastructure
Roles/responsibilities and evaluation of KM exec.