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Thieme Hennis

AOK: KM Short Course - 0 views

  • A two-year study shows that up to 70 percent of workplace learning is accomplished on-the-fly, calling into question the value of formal training programs that are presented in their own good time and costing as much as $50 billion annually.
  • In an open, knowledge-based organization, interdepartmental cooperation and collaboration must become an integral part of the daily routine. Teams will not be appointed; they will form naturally in a knowledge-friendly environment through the free flow of information and ideas, leading to common goals that are dependent on the interaction of skills, knowledge and resources of cross-functional groups (not teams).
  • While knowledge networks are forming naturally in such a positive environment, the systematic management of networks will be essential if all this energy is to be productively directed toward the goals and objectives of the organization.
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  • Once human networks are formed, the application of interactive technology can succeed because it will be layered on a new knowledge community with a need for the mutual sharing of knowledge and ideas. The power and effect of knowledge will be amplified far beyond the limits of time and space and the association will be a valuable resource in the virtual world.
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    introduction to knowledge management
Thieme Hennis

InnovationLabs Publications: Innovation Metrics - innovation process measurement - 0 views

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    waar in het innovatietraject kan PEERS een rol spelen, en hoe meet je dan het succes van PEERS?
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    Whitepaper about innovation and measuring it. # Introduction # Innovation Methodology # The Innovation Funnel # Stage -1: Strategic Thinking # Stage 0: Portfolios & Metrics # Stage 1: Research # Stage 2: Insight # Stage 3: Ideas # Stage 4: Targeting # Stage 5: Innovation Development # Stage 6: Market Development # Stage 7: Sales # Inputs, Process & Output # Conclusion # References
Thieme Hennis

Half an Hour: Types of Knowledge and Connective Knowledge - 0 views

  • If we have a lump of coal - and *only* a lump of coal, then there are three types of things to be known about it:- its colour and shape and other qualities- its mass and size and other quantities- the way its parts are connectedAnd as a result, we have three types of knowledge about this particular lump of coal:- qualitative- quantitative- connective
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    interessant.
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    blogpost about three types of knowledge: qualitative, quantitative, and connective. Also noce introduction to (Western) philosophy.
Thieme Hennis

RDF Primer - 0 views

  • The Resource Description Framework (RDF) is a language for representing information about resources in the World Wide Web. It is particularly intended for representing metadata about Web resources, such as the title, author, and modification date of a Web page, copyright and licensing information about a Web document, or the availability schedule for some shared resource.
  • RDF is intended for situations in which this information needs to be processed by applications, rather than being only displayed to people. RDF provides a common framework for expressing this information so it can be exchanged between applications without loss of meaning. Since it is a common framework, application designers can leverage the availability of common RDF parsers and processing tools. The ability to exchange information between different applications means that the information may be made available to applications other than those for which it was originally created.
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    RDF primer: introduction to the semantic web and the RDF standard for web resources.
Thieme Hennis

An Introduction to the Resource Description Framework - 0 views

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    RDF, semantic web
Thieme Hennis

Credit Scoring, Data Mining, Predictive Analytics, Statistics, StatSoft Electronic Text... - 0 views

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    This Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a wide variety of applications, including laboratory research (biomedical, agricultural, etc.), business statistics, credit scoring, forecasting, social science statistics and survey research, data mining, engineering and quality control applications, and many others. The Electronic Textbook begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics, organized by "modules," accessible by buttons, representing classes of analytic techniques. A glossary of statistical terms and a list of references for further study are included.
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