This presentation was given in a live webinar on March 22, 2012
To view just the slides of this presentation, click HERE.
About the Presentation
Building on the lessons learned in “Getting Started with Unstructured Data” this webinar will help you understand how to define requirements for your unstructured data projects.
There are several pain-points which can trigger the kickoff of an unstructured data project and we will focus on two during this session:
- Reducing costs and improving efficiencies in business processes
- Identifying business development and sales opportunities
Techniques for assessing the needs and generating requirements for each type of project will be reviewed. Means of addressing scale for small, medium and large businesses will be addressed.
About the Speaker
Christine Connors has extensive experience in taxonomy, ontology and metadata design and development. Prior to forming TriviumRLG Ms. Connors was the global director, semantic technology solutions for Dow Jones, responsible for partnering with business champions across Dow Jones to improve digital asset management and delivery. In that position, she managed a worldwide team responsible for the development of taxonomies, ontologies and metadata that are used to add value to Dow Jones news and financial information products. Ms. Connors also served as business champion for the Synaptica® software application, including managing a US- based team of software developers, and supported Dow Jones consulting practices worldwide, which deliver end-to-end information access solutions based on taxonomies, metadata and semantic technologies. Prior to joining Dow Jones Ms. Connors was a knowledge architect at Intuit, where she was responsible for introducing semantic technologies to online content management and search. And before that, she was a Metadata Architect at Raytheon Company and Cybrarian at CEOExpress Company. At Raytheon Company she oversaw knowledge representation and enterprise search, delivering large-scale taxonomies, metadata schema and rules-based classification to improve retrieval of petabytes of internal information via a multi- vendor retrieval platform.