Our software
looks at information the way a person would look at it. We
establish context, relevance, and assign a confidence
level to our initial impressions. We consider all
information in its historical context. By using text from
unstructured documents, real-time and historical data from
sensors, and the quality of prior recommendations, we
present a decision and our rationale.
This process, based on artificial intelligence (AI), is
called Case-Based Reasoning (CBR). CBR does
what people do.
Like a human a CBR system synthesizes experience, historical data, and context to
make informed recommendations about new situations. The
answers produced are typically in the form of a
recommendation for action, accompanied by a justification
of the recommendation. The computer generated
results are much like the output we would
expect from a well-informed human making a recommendation
to his or her boss.
How it works |
Sentinel
combines text analysis,
real-time data acquisition, and a proprietary decision
making engine to give concise, accurate answers to complex
problems. Case-based reasoning techniques developed by
Enkia assure that ALL available
and relevant data is included in the decision process.
Recommendations and candidate decisions are produced by
the synthesis
of real-time and historical data with a proprietary
case-based reasoning algorithm. Using these techniques a
business can detect trends and
highlight opportunities well before
they occur.The Enkia Text and Data Analyzers are
available as separate modules and form the basis of our
products. These powerful tools may be
combined with our CBR decision making engine to make complete
expert system for your business. See our
success stories for examples of the power of CBR to solve
your business problems. |
888-365-4287