Appeal 2007-2745
Application 09/761,671
1 19. With VBM, sensitivity analysis of past results offers clues to what can
2 be done in the future and which value drives - e.g., sales growth, profit
3 margins, productivity, etc. - should receive the most attention to achieve
4 the optimal rewards. Additionally, the VBM technique allows the analyst
5 to figure key decision making trade-offs, since attention to one driver
6 may generate negative effects on others or two or more drivers may have
7 to be varied in concert to produce the best results (Bielinski, 5:Keys to
8 creating value).
9 Brown
10 20. Brown is an accounting journal article describing how artificial
11 intelligence (AI) is implemented in business practices. Three of the most
12 common methods parallel the way people reason: rules (inference
13 procedures), cases (case-based reasoning), and pattern matching (neural
14 networks). These methods may be used separately or in combination and
15 currently are being used to solve a variety of business tasks (Brown
16 51:Left col., Bottom ¶ - Center col.).
17 21. Neural networks use pattern matching. The financial services industry
18 with its large databases has fielded several successful neural network
19 applications, and neural networks based on information about customers
20 or potential customers have proved effective. If large databases exist
21 with which to train a neural network, then use of that technology should
22 be considered. For a neural network the large database can be used as the
23 equivalent of the human expert (Brown 52:Center col., Second ¶).
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Last modified: September 9, 2013