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Frequently Asked Questions
- What are Predictive Technologies and Probabilistic Methods?
- Aren't Probabilistic Methods just another fad?
- What benefits can Probabilistic Methods bring to my company?
- Don't you have to be a mathematical genius to apply Probabilistic
Methods to a problem?
- I've heard that Probabilistic Methods could add a lot of time to our
processes. Is this true?
- Don't you need large amounts of statistical data to conduct a
Probabilistic Analysis?
- Isn't Probabilistic Technology still brand new? Wouldn't it be better
to wait until the bugs get worked out?
- The benefits of Probabilistic Methods sound great, but my company
uses proprietary codes to predict responses such as life and stress. As a
result, it could be impossible to interface with them. Is there anything we do
about that?
- How can I get more information?
1. What are Predictive Technologies and Probabilistic Methods?
Whatever your industry is, Predictive Technologies allow you to predict the
future with greater accuracy, based on mathematical modeling. Probabilistic
Methods take these Predictive Technologies one step further, permitting you
not only to predict with accuracy, but to quantify the variability in that
prediction. Combined, these tools allow for probabilistic design, sensitivity
analysis, mathematical modeling of complex processes, uncertainty analysis,
error bounding, competitive analysis, and process optimization.
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2. Aren't Probabilistic Methods just another fad?
Absolutely not. In fact, their use has exploded over the past two years.
Previously, only a few large companies benefited from using Probabilistic
Methods. Today, numerous companies are using them to positively impact their
bottom line. To see several case studies showing how real companies achieved
real savings of millions of dollars, check out our Success
Stories.
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3. What benefits can Probabilistic Methods bring to my company?
Benefits range from cost reduction to reliability improvement to root cause
identification to uncertainty prediction. In fact, the list of potential
benefits goes on and on. Visit Success
Stories to see the case studies of actual uses, and actual results.
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4. Don't you have to be a mathematical genius to apply Probabilistic
Methods to a problem?
If you'd asked this question ten years ago, the answer would've been yes.
Today, however, Unipass software lets anyone who is familiar with the physical
details of their problem easily conduct a probabilistic analysis using a
user-friendly Graphical User Interface.
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5. I've heard that Probabilistic Methods could add a lot of time to our
processes. Is this true?
Years ago, back when computer runs were done "by hand," this was
unfortunately true. We're happy to report that things have changed . Unipass
now determines the required computer runs, then makes them automatically.
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6. Don't you need large amounts of statistical data to conduct a
Probabilistic Analysis?
This is probably one of the biggest misconceptions about Probabilistic
Methods. The answer is no! Probabilistic Methods can be used effectively even
with a small amount of data. Naturally, if the amount of data is small, then
the uncertainty going into the probabilistic model will likely be large,
resulting in a large amount of uncertainty. On the other hand, the results
won't be greatly affected by a paucity of data if the result isn't sensitive
to a highly uncertain input. In any case, Probabilistic Methods most
accurately quantifies the uncertainty about a given process based on data,
expert opinion, and underlying theory.
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7. Isn't Probabilistic Technology still brand new? Wouldn't it be better
to wait until the bugs get worked out?
You may find it surprising that the experts at PredictionProbe have been working in
the field of Probabilistic Methods for nearly two decades. This has given them
a great deal of time to "work the bugs out." PredictionProbe today delivers
highly accurate, state-of-the-art software tools. The only outcome of waiting
a little longer before "diving in" is to let your competition get a
head start.
8. The benefits of Probabilistic Methods sound
great, but my company
uses proprietary codes to predict responses such as life and stress. As a
result, it could be impossible to interface with them. Is there anything we do
about that?
This is not a problem with Unipass. We have a Generic Interface (GI) which
allows the user to interface with any code. The user simply tells Unipass what
their proprietary code input file looks like, what their proprietary code
output file looks like, and what commands are required to run their
proprietary code. These input and output files can always look either the same
(Fixed Format) or different (Variable Format). No specialty interface is
required.
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9. How can I get more information?
Contact us here at PredictionProbe! We
can be reached at info@PredictionProbe.com For product or technical support, please email
support@PredictionProbe.com
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