ID WORLD International Congress: Peter Went

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Peter Went


Speaks at ID WORLD on Secure Identification

Peter Went is the Chief Executive Officer of WCC, where his role is to oversee the company’s operations in The Netherlands and the United States.

Mr. Went founded WCC in 1996 after a frustrating search for a new house exposed the fact that existing database technologies were ill-equipped for performing certain types of searches. This revelation led him to develop a search tool that worked more like the human mind, and set the foundation for WCC’s ELISE fuzzy database technology.

Prior to WCC, Peter Went held a number of leadership positions with different high tech companies. He served as CTO of Quality System Development, which developed and marketed an integrated banking system for European banks. He also was Founder & CEO of UniSoft, where he orchestrated the company’s expansion into Prague.

Mr. Went’s experience also includes various roles in both software development and business consulting. He has served as lead developer with Shell International, principal consultant at James Martin Associates and principal consultant with Platinum Technology.

Being an internationally recognized expert in relational database systems, Mr. Went has spoken at a number of occasions, including IBM Guide event, Security Symposium, HR-XML, the British Chamber of Commerce and was recently asked to be a judge for the SIIA Codie Awards.


Adopting a Person Centric approach to identification can drastically reduce fraud and duplication in identity databases across a range of identity applications such as border control, access management, and benefits programs such as drivers licenses or political asylum.

Drawing on experience gained by WCC in a large Middle East deployment, WCC’s CEO, Peter Went, will show how the fusion of biometrics and biographic data, with special attention to advanced name matching, can help achieve project goals to avoid duplication or detect fraud.

Specifically, Mr. Went will touch on five unique innovations that helps avoiding troubles while deploying person centric identification:

•Objective Identity – the next generation approach to the Person Centric Identity challenge.

•Intelligent Query Management – determines the best sequence of matching properties and algorithms based on the data characteristics, speed and cost.

•Dynamic Algorithm Selection – use of multiple algorithms for a single property to accelerate and optimize matching performance while improving accuracy.

•Cross-value Inference – method where data in one property may influence the match behavior of another property.

•Multi-modal Fusion – the unique technique of combining biometric and biographic data into single search operation in large-scale identification projects.



Speaking on November 2

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