FAQs
Frequently Asked Questions About Probabilistic Technology, PredictionProbe and UNIPASS® Software
QUESTIONS
- What is Probabilistic Technology?
- When was Probabilistic Technology developed?
- What is the difference between statistical approaches and Probabilistic Technology?
- What is UNIPASS?
- Do I have to be an engineer to use UNIPASS?
- How long does it take to learn Probabilistic Technology?
- How do Monte Carlo simulations relate to Probabilistic Technology?
- Why do we need Probabilistic Technology?
- Is Probabilistic Technology mature enough for practical applications?
- What is the best way to begin implementing the technology?
- At what stage of a project should Probabilistic Technology be implemented?
- Which industries have potential applications in Probabilistic Technology?
- What kind of projects most benefit from Probabilistic Technology?
- What kind of operating systems does the UNIPASS software require?
- What kind of technology support does PredictionProbe offer its customers?
- How do I become a registered user in the Probabilistic Technology Community?
8. Why do we need Probabilistic Technology?
Because much more accurate information is available, Probabilistic Technology allows organizations to make more informed decisions, to improve their bottom line and product performance, to design safer products with high reliability, to ensure system availability, to minimize life cycle costs, and to quantify risk and liability.
