Tracks > Unstructured Data


Monday, 4/30/2012
Morning Tutorials 08:30 AM - 11:45 AM
Title Speakers Audience
Managing Your Company's Unstructured Content James Wessely, Advanced Document Sciences
Introductory
Afternoon Tutorials 01:30 PM - 04:45 PM
Title Speakers Audience
Infonomics: The Economics of Information and Principles of Information Asset Management John Ladley, First San Francisco Partners
Business / Non-Technical
NOSQL 101 Dan McCreary, Kelly-McCreary & Associates
Introductory
 
Tuesday, 5/1/2012
Keynote Presentation 08:30 AM - 09:20 AM
Title Speakers Audience
The Transformation to a Data-Driven Organization Terry Milholland, Internal Revenue Service
Business / Non-Technical
Conference Sessions 10:15 AM - 11:05 AM
Title Speakers Audience
From Big Legacy Data to Insight: Lessons Learned Creating New Value from a Billion Low Quality Records Per Year Jaime Fitzgerald, Fitzgerald Analytics
Alex Hasha, Bundle.com (a joint venture between Citi, Microsoft Money, and Morningstar)
Intermediate
Conference Sessions 11:15 AM - 12:05 PM
Title Speakers Audience
How to Define Requirements for Managing Your Unstructured Data Christine Connors, TriviumRLG LLC
Business / Non-Technical
Conference Sessions 01:30 PM - 02:20 PM
Title Speakers Audience
Case Study: The Care and Feeding of Unstructured Content - Managing Millions of Documents at LexisNexis Jayne E Dutra, LexisNexis
Conference Sessions 03:20 PM - 04:10 PM
Title Speakers Audience
Survey of Techniques for Text Analytics in Unstructured, Semi-Structured, and Structured Data Reza BFar, Oracle USA
Intermediate
 
Wednesday, 5/2/2012
Conference Sessions 08:30 AM - 09:20 AM
Title Speakers Audience
Data Fusion Framework – How to "Fuse" Structured and Unstructured Data to "Connect the Dots" James McGinn, Blue Canopy
Intermediate
Conference Sessions 11:30 AM - 12:20 PM
Title Speakers Audience
Blending Unstructured and Structured Data with Semantics: A Case Study Lee Feigenbaum, Cambridge Semantics Inc
Introductory
Keynote Presentation 04:00 PM - 04:50 PM
Title Speakers Audience
The Big Panel on Big Data Business / Non-Technical

Dataversity  Wilshire Conferences