Achieving business agility with WebSphere ILOG JRules and WebSphere BPM
Bibliographic record
Abstract
Business Process Management (BPM) and Business Rule Management (BRM) are two technologies that are used to improve the agility, flexibility and efficiency of operational processes. Many people have questioned the differences between the two, or use the terms interchangeably---there are, however, clear differences in terms of the functionality and the value of each. BPM is focused on defining, orchestrating and monitoring long running processes that are comprised of both people- and system-based activities. BRM on the other hand, is focused on defining, maintaining and executing decision logic that is used at specific points within a process or as part of automated decisions within business systems. Overall, the complement, or synergy, between BPM and BRM is about reaching further---expanding the breadth of problems that can be solved with a single solution. Both technologies share goals such as improving the efficiency and visibility of business processes, but they do so at different levels in a solution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".