- #ORF09 An introduction to the RETE algorithm
- #ORF09 Playing With the Rules Presentation
- #ORF09 Rule Patterns and Features Presentation
- #ORF09 Early Alert System Presentation
- #ORF09 Engineer’s perspective on Rule Technology Keynote
- #ORF09 Enterprise Architecture Presentation
- #ORF09 Enterprise Architecture Presentation Part II
- #ORF09 Model Driven Approach for BRMS Presentation
- #ORF09 Production Rule Systems
- #ORF09 Graph Based Knowledge Bases and Rules Presentation
- #ORF09 Truth versus Useful Lies Presentation
- #ORF09 Automated Verification of rules Presentation
- #ORF09 Agile Business Rule Development Presentation
- #ORF09 Rule Classification First Presentation
- #ORF09 Rule Violation and Over-Constrained Problems Presentation
- #ORF09 Generating Rules from UML presentation
- #ORF09 What’s Different about Rules in CEP Presentation
- #ORF09 Measuring your Rules’ KPI Presentation
- #ORF09 Designing a System of Rule Based Agents Presentation
- #ORF09 Extending General Purpose Engines Presentation
- #ORF09 Programming Rules using a spreadsheet interface
- #ORF09 Practical and Modern RBE Presentation
- #ORF09 Temporal Reasoning Presentation
- #ORF09 Business Rules in the Cloud Presentation
- #ORF09 October Rules Fest Think Tank
- #ORF09 October Rules Fest Think Tank – Part II
- #ORF09 CLIPS implementation of RETE Presentation
- #ORF09 Complex Event Processing Models Presentation
- #ORF09 Distributed Programming with Agents Presentation
- #ORF09 making Parallelism Available to Rule Developers Presentation
Carlos Serrano-Morales is talking about how the Internet world is going to affect the AI world.
Some transformation forces:
- The Economy
- Big Data
Competitive survival is driven by the ability to anticipate crisis situations as well the ability to react swiftly to it.
There is an ever increasing amount of data with increasing complexity that we need to deal with. How do we leverage that information?
The cloud is a resource that you can use on an elastic basis. You use what you need. Cloud computing is leveraging the cloud. Cloud computing is not a fad, it is currently at the top of Gartner’s hype cycle, but it is not going to go away.
Carlos then went into some details about Cloud computing, the architecture, etc.
The implications of large data is that you will need to map the information to what you want to do, sort the information and reduce (summarize?) the contents to reduce the volume. He called that “MapReduce” which is a programming model.
What does that mean for decision management? We need to increase our capability to predict, which requires new analytical methods to cope with large, sparse, unstructured data. Use predictive models to capture correlations. Leverage cloud infrastructure.
More challenges:
- To increase our ability to react and adapt
- To deploy decision services in an efficient and scalable fashion within the cloud
Tags: Business Rules, Conferences, ORF09