Real-Time Graph Search for Corporate Risk Mitigation
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  Jans Aasman   Jans Aasman
CEO
Franz Inc
www.franz.com
 


 

Monday, June 3, 2013
10:30 AM - 11:15 AM
Level:  Technical - Intermediate

Location:  Yosemite A

The management of partner relationships and the associated legal agreements for large projects continues to escalate in complexity. Currently, legal/risk experts have no tools to detect, monitor and manage risk that match this exploding complexity, velocity and data.

For example, contracts utilized for infrastructure construction represent some of the most complex of contracts and carries with them the successful creation of a bridge or a new multi-story building. With sub-contractors in the hundreds and the associated contracts to define how the project will be constructed in the 1000s of pages, the ability of a project manager to constantly be aware of impending risks, defaults, substantial potential litigation and damages has become virtually unmanageable.

Decomposing these complex relationships, via graph technologies, into discrete components and linking these components to relevant content, inside and outside of a corporation promises to facilitate real-time automatic calculation of risk, flagging of non-compliance and improve situational monitoring of projects.

In this presentation we discuss the graph based technologies that facilitate the ability to:


• identify contractual risk in real-time
• connect the adverse events with contract terms
• improve process flow and improve on lessons learned


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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