Financial Services firms are adopting Semantic Technology.
This presentation will summarize five case studies, all within the last year, of the application of Semantic Technology at Financial Services companies. These five projects have been implemented in three firms: an investment bank, a credit card company, and a credit rating firm, and are well beyond proof of concept and either in production or headed there soon.
The case studies represent a very diverse cross-section of the kind of projects that semantics is appropriate for. The projects to be discussed are:
- An “aboutness” engine to help classify document repositories for retention planning
- The basis of a 360-degree view of a customer
- The seed for an NLP project to harvest semantic content from equity research
- A metadata repository to break a mapping log jam of over 100 systems
- An integration platform for risk, policy, regulation, controls, fraud, and processes
- Understand what is motivating financial services firms to adopt Semantic Technology
- Be able to describe five very different use cases for the adoption of semantics in financial services
- Be able to articulate the value of the “think big/start small” approach to semantic implementation
- Appreciate the pivotal role that governance plays in implementing semantics in financial services firms
- Agree that the time for proof of concept projects is over
One client used FIBO-V to seed their NLP application, one client mapped their enterprise ontology to FIBO’s class structure, and the third client did not use FIBO as it was primarily a metadata project.