OOOOOIncreased efficiency, performance & profits
OOOOOOStrategic, mission trade-off, legally defensible reasoning
OOOOOOOOOCross-functional knowledge integration
KNOWLEDGE-CENTRIC SYSTEMS FOR
PRIVATE ENTERPRISE AND GOVERNMENT
Business Applications for Commercial Enterprise and Government

Theory (the rules that determine behavior and how the meta-physical and physical aspects of our world fit together), underlie every aspect of business organization, its processes, tasks and functions. Since conventional technologies do not operate with the benefit of theory and its reasoning power, employees, consultants, contractors and subject experts are required to provide theory for organizations to work. As machines learn specific domain concepts, ideas, thought patterns and underling theory through the process of knowledge engineeering, they are able to reason through the same processes as humans - and in most cases, with much greater precision. Humans can only hold 3-7 competing ideas in their heads at any one time when reasoning through problems. Theory-based semantic machines consider 10s, 100s and 1000s of competing ideas concurrently without explosive overhead costs. Commercial applications as tested through government R&D and advanced engineering include:

What does a knowledge solution look like?
  • Knowledge Permanence - Preventing the costs of lost knowledge. Capturing the legacy knowledge of an organization for on-going reference. When employees leave, they take the knowledge in their heads with them. For the first time, companies can own their own knowledge.Capture division, department and satellite office knowledge for on-going reference, situation awareness, organizational and performance integrity, flow-patterns, efficiency and performance. Pass the HQ DNA down to front line employees.
  • Knowledge Superiority - Assessments and decisions at the "speed of thought." Capture specific knowledge domain content to support strategic planning. Gain most strategic, mission trade-off, legally defensible and best practice answers to even the most complex questions within seconds and minutes as opposed to hours, days, weeks or months using conventional technologies. Gain sustained competitive advantage.
  • Job Knowledge Transfers - Passing on "how we do it here" job knowledge. Capture job tasks, functions, processes and strategies for on-the-fly, immersive, interactive multi-media training. Decrease training time and increase efficiency, performance and profits. Users precisely locate all relevant knowledge and precisely, the supporting documents that contain that knowledge, at the speed of thought. Pass on the mastery of large, long-term projects to managers and other key employees as they rotate into and out of projects. Managers come "up-to-speed" faster when all the knowledge of a project is available to them when they need it. Build a project knowledgebase with past trade-off decisions and rationales, directives and time-history evolution.
  • Expert Replacements - Tool assisted professional expert replacements.
    Transfer the expertise of costly professional experts to para-professionals. Less expensive para-professionals perform the work of experts with the same level of detail, understanding, methods and strategies whether in law, medicine, engineering, science or management. Employee skills rapidly evolve, as they become power-learners.
  • Knowledge-based computing - Knowledge models configure system networks.
    Solves the interoperability problem of conventional databases and applications. Embedded theory-based semantic tools solve the complexity problem with the power to capture every cross-functional detail, and every relationship of those details, to model even the most complex environments. Operates at absolute bit limits for true linear scalability, solving quadratic growth problems of conventional technology.

What is the Business Value of Semantic Technologies

A
s organizations shift their thinking away from a document/document content mindset to a pure theory-based knowledge content mindset, an entirely new world of possibilities opens. This new world is one where knowledge is captured once and used for decades and even centuries because theory changes very slowly - if at all. Most of the theories that shape our behavior related to social relationships were conceived 35,000 to 40,000 years ago. Much of our financial theories, such as "buy low, sell high," or "it is better to have it sooner than later," or "the principles of interest," were conceived and deployed by our ancestors millenniums ago. The circumstances and situations may change, but the underlying theory does not. Theory is learned through enculturation, education and life experience and shapes our behavior and the way we assess our world. Well-justified theories such as those proven most successful by science, engineering, business and so forth, are most valuable.

Organizational knowledge is underwritten by the theories that define values, missions, objectives, policies, procedures, standards and every other aspect of business. It underlies every concept, idea and thought pattern.

For these reasons, once theory is captured, machines can perform the same reasoning as people, and likewise, make sense of the same information contained in databases and applications. In most cases, with greater precision and accuracy.

As employees learn new and deeper theories, and how to apply those theories for the benefit of enterprise, organizations gain knowledge superiority as demonstrated by the value analysis conducted by TopQuadrant, a Washington D.C. consultancy that specializes in semantic technologies.

If what you see interests you, let's talk about it. Theory-based semantics is not a trend, it is a tested and proven technology that is transporting the Knowledge Industry into the 21st Century and beyond. <> Strategic Partners Wanted <>

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