Generating Dynamic Social Networks from Large Scale Unstructured Data

Location: Mission City B4
Average rating: ***..
(3.92, 12 ratings)

Whether in financial services, legal investigation, or government intelligence, understanding the social network fabric is critical to making better, faster and more actionable decisions. These networks are typically determined by static user-defined criteria such as “like”, “knows”, “connection request”, however, these critical connections are far more dynamic that these user-defined entries. Furthermore, the true “Social Network” can be among people, places, organizations and many other categories.

In his presentation, Tim Estes will discuss how the Entity Oriented Analytics in Synthesys dynamically discovers, refines and presents these and many other critical connections derived directly from the data – especially when the source is very large scale unstructured data. The ability to discover and present these connections, classifications and rankings dynamically is critical to expanding our understanding of underlying facts and reducing the reading burden of overwhelmed data analysts.

Entity Oriented Analytics is uniquely is positioned to verify relationship assumptions to meet today’s real-time big data demands.

Photo of Tim Estes

Tim Estes

Digital Reasoning

Tim Estes has served as the CEO of Digital Reasoning Systems since founding the company over nine years ago. Tim’s academic work at the University of Virginia focused in the areas of Philosophy of Language, Mathematical Logic, Semiotics, and related disciplines. Digital Reasoning was founded with a vision to create software-based intelligent learning systems. This led to the breakthrough technology and intellectual property which is at the core of Digital Reasoning.

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Comments

Robert Schukai
02/02/2011 4:04am PST

Outstanding presentation and very cool that they are putting their algorithm into open beta for people to try out. Completely agree that not everyone will want their data in open access.

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