And Then the Phone Rang
نویسندگان
چکیده
There are two critical interfaces that must be crossed when deploying any technological product. These are the hand-off from research to development and the hand-off from development to commercialization. These interfaces are frequently problematic, and are especially problematic when the technology being deployed is based on artificial intelligence. This paper will present our analysis of the problems and lessons learned from the deployment of an artificial intelligence based financial application that was developed and commercialized over the last two years, and is currently being used to manage a private hedge fund. During the process we encountered several bumps in the road, and two, in particular, were due the fact that we were deploying an artificial intelligence based system. At the research to development interface, we began to appreciate the difference between an experimental A.I., with its quirks and oddities; and a development tool that must be a reliable and testable product. During this transition we encountered the problem of being able to confirm that the software, after optimizations and modifications, was functionally equivalent to the original software. The necessitated the development of repeatable ‘intelligence tests’ that could be automated to confirm that no functional changes occurred. At the development to commercialization interface we became painfully aware of just how messy the real world is, and the impact of this messiness on an adaptive intelligent system. Suddenly, we were called upon (by the paying clients) to improve the reliability, robustness, and capabilities of a high-reliability, real-time intelligent system. This necessitated the extension of the intelligence in the system to monitor its own performance and adapt to changing conditions in its environment – in order to get to the state where the originally designed intelligent system could begin its work. This is similar to the biological mechanisms of having one intelligent system the brain, protected by a completely independent intelligence – the immune system. Overall we learned several key lessons which we have incorporated into our development process; lessons which are designed to smooth the transitions along the path from a research project to a commercially deployed artificial intelligence application. Since our business depends on efficiently producing commercial intelligent applications, Copyright © 2006, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. these lessons are key to our business survival. However, we believe that they are of value to any group that is developing intelligent software and hardware.
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