Intelligent Decision Automation on an Event Driven Semantic Platform
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  Jans Aasman   Jans Aasman
CEO
Franz Inc
www.franz.com
 


 

Monday, September 26, 2011
04:10 PM - 05:00 PM
Level:  Technical - Intermediate

Location:  Kensington/Chelsea

A number of Enterprise and Government use cases involve overwhelming numbers of events that have to be analyzed in real time. Some examples: [1] Telecom customer care has gotten to the point where it needs proactive customer management so that it can direct users and avoid expensive contacts call center. [2] Banks and credit card companies need to make split second decisions with regard to allowing debit or credit card payments, based on the history of a customer and current real-time events and contexts. [3] The Intelligence Community processes millions and millions of incoming messages and observations on a daily basis and needs to predict malicious events and aberrant human behavior far enough in advance so that appropriate action can be taken.


Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.


   
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