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The Knowledge Life Cycle

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Inference engines that reason about interactions between data ... Discernment and Discretion. Context is Unique at any Given Point in Time. CONTEXT. Immediate ... – PowerPoint PPT presentation

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Title: The Knowledge Life Cycle


1
The Knowledge Life Cycle
Alex Bennet DON DCIO 11/01/99 v. 3
2
IT Supporting Transformation of Information into
Knowledge
Knowledge
  • Data Mining
  • Navigation and search
  • Synthesis of information through automated
    analyses of relationship between information
  • Inference engines that reason about interactions
    between data
  • Intelligent applications that introspect about
    uncertainties and ambiguities and missing data
  • Representation of complex knowledge to users

Alex Bennet DON DCIO 8/13/99 v. 3
3
The Essence of Knowledge Management
INTELLECTUAL CAPITAL
Explicit
Tacit
HUMAN CAPITAL (Individual)
SOCIAL CAPITAL (Team)
CORPORATE CAPITAL (Organization)
  • Expertise
  • Experience
  • Capability
  • Capacity
  • Creativity
  • Adaptability
  • Networks
  • Relationships
  • Interactions
  • Language
  • Patterning
  • Intellectual Property
  • Processes
  • Databases
  • Flexibility

ENTERPRISE KNOWLEDGE
What is the true value to DON?
Alex Bennet DON DCIO 11/04/99 v. 1
4
Knowledge Management Challenge

Alex Bennet DON DCIO 12/01/99
How do we maximize collaboration and
sharing while minimizing loss of intellectual
capital?
5
The DON KM Framework
Context, Value, Relevancy, Currency, Credibility,
Expertise
Enabling, Facilitating, Empowering, Promotes
innovation
Making Explicit, Capturing, Categorizing, Clusteri
ng, Clumping, Mapping, Analyzing,
Disseminating,Presentation
Commitment, Sharing, Exchanging,
Building relationships, Communities,
Verication
Creating, Growing, Strategic Thinking,
Experimenting, Storytelling, Feedback
loops, Discernment and Discretion
Alex Bennet DON DCIO 11/05/99 v. 6
6
Context is Unique at any Given Point in Time
Immediate Environment
Recent Human Interactions
CONTEXT
Events Immediately Prior
Bundle of Probable Actions
7
Value of Clumping and Clustering
DECISION
CLUMPING
  • Organizing information and data around decision
    points.
  • Real-time data and information.
  • Promotes efficient and effective decision making.

AUTHORITATIVE DATA SOURCES
CLUSTERING
  • Information and data organized around
    similarities.
  • Promotes building of new knowledge and innovative
    practices.

8
Decision Grounding
  • Verification (to verify)
  • To prove the truth of by presenting evidence to
    determine the truth of accuracy.
  • Grounded by the explicit.
  • Verication (to vericate)
  • To test the reasonableness by consulting a
    trusted allyto determine the reasonableness or
    soundness.
  • Grounded by the implicit.

9
Dynamic Tensions
  • risk - - - - - - - - - - - - - - - - - - - - - -
    - - - - - leveraging
  • local - - - - - - - - - - - - - - - - - - - - -
    - - - - - - global
  • tacit - - - - - - - - - - - - - - - - - - - - -
    - - - - - - explicit
  • informal - - - - - - - - - - - - - - - - - - - -
    - - - - formal

For every KM effort there is a point of
equilibrium
10
Building Critical Thinking Skills
Alex Bennet DON DCIO 7/24/99 - v.3
11
Communities of Practice and Interest
  • Shared Domain of Practice/Interest
  • Alignment with strategic direction
  • Crosses operational, functional and
    organizational boundaries
  • Defined by knowledge, not tasks
  • Managed by making connections
  • Focus on value, added mutual exchange
    andcontinuous learning
  • Evolving agenda
  • Communities emerging across the Department
    (Collaboration at Sea, Logistics, MC QDR, total
    ownership cost, KM, Investment Practices, etc.)

you cannot force a plant to grow by pulling
its leaves what you can do is create the
infrastructure in which it can prosper. -
Etienne Wegner, 1999
12
Systemic change driven by Knowledge Economy
Alex Bennet DON DCIO 02/24/2000 v. 2
Patterns surfaced through input from the DOR
Expert Forum held in Oct 99.
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