When Relational Technology Can't do the Job
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  Jans Aasman   Jans Aasman
CEO
Franz Inc
www.franz.com
 


 

Wednesday, August 24, 2011
11:30 AM - 12:20 AM

Level:  Technical - Intermediate


A number of Enterprise and Government use cases involve overwhelming numbers of events that have to be analyzed in real time. For example, banks need to make split second decisions with regard to allowing credit card payments, based on the history of a customer and current real-time events and contexts. The Intelligence Community processes 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. The challenge is that events come from various real time sources and databases that don't fit together well.

Amdocs is a publicly traded company that is the market leader in customer experience systems for telecommunications and Cable companies including Billing, CRM, Network Planning and Provisioning. They run some of the biggest Oracle installations in the world for telecom companies, and will keep using them in future. But relational technology simply wasn’t usable for their new Amdocs Intelligent Decision Automation (AIDA) system, which is designed to provide proactive customer management to improve satisfaction and avoid expensive call center contacts. They needed the flexibility of a non-relational graph database and an RDF triplestore to make this new personalized predictive CRM application work. Now they have an application that works with dozens of relational databases and unstructured data sources. This discussion will describe the reasons why Amdocs went non-relational given that they have so much experience with relational technologies, and provide a real world use case with a solid argument for considering NoSQL technologies.


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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