(Recorded on March 10, 2015)
Searching for relationships across disparate collections of research documents, articles and reports can be an incredibly time-consuming and labor-intensive process. Boolean keyword searches can produce false positives and omit results that could be highly relevant if the exact search terms aren't found in a document, and laborious taxonomies can be incredibly time-consuming to build and maintain.
Join this informative and educational web symposium to learn about entirely new and highly secure, web-based approaches that leverage the power of machine learning technology to enable product managers and researchers to quickly discover hidden relationships and insights within and across vast, disparate collections of internal and external text-based content. See firsthand how machine learning technology can identify concepts and relationships within unstructured, text-based content, in nearly any language, without the need to build and maintain taxonomies and word libraries. See how to quickly and easily apply machine learning technology across internal research reports stored on your computer or company network or internal software applications, articles from news sources and industry journals in the Web, and open source offerings such as Wikipedia.
Learning Objective Bullet Points:
- Learn how machine learning reduces the complexity of analyzing wide range of disparate content silos
- Learn what machine learning technology is, how it’s proven in the US Intelligence Community, in eDiscovery and other highly sensitive environments
- Understand the challenges and limitations of traditional search technologies, taxonomies and word libraries
- See the power of visualization applied to unstructured content to quickly reveal hidden insights and relationships
- Discover new ways to uncover correlations in regulatory intelligence, drug safety information and eCTDs
Chief Strategy Officer
Content Analyst Company
Mr. Felahi is the Chief Strategy Officer for Content Analyst Company, LLC. He is responsible for the company product strategy and vision. Prior to joining the Content Analyst Company team, he was a Principal Product Planner at Microsoft Corporation, where he was part of a small team responsible for setting the Office product division’s long term product direction and strategy. Before Microsoft acquired FAST Search & Transfer, John lead FAST’s OEM business, application product management, integration efforts of acquisitions and company messaging. Mr. Felahi has held executive and senior positions at a number of companies in his 20+ years in the software industry. John was a member of the honors program and holds a Bachelor’s degree in Economics and Philosophy from Boston College.
Melissa R. Chapman
The Riverhead Group
Ms. Chapman has a broad background in management and technology in both the public and private sectors. As a health information technology expert, she has been responsible for implementing complex technology solutions for a wide range of clients in the health arena, including the Department of Health and Human Services (HHS), the Food and Drug Administration (FDA), the Centers for Disease Control and Prevention (CDC), and the Department of Defense (DoD), as well as large pharmaceutical companies and health plans. She has strong leadership skills in delivering health-related process and technology strategies and services, and she is a recognized thought leader in the areas of health informatics and technology, drug safety and regulatory issues, international health management challenges, and pharmaceutical IT standards. Currently, Ms. Chapman serves as a principal of The Riverhead Group (TRG)—an IT management consulting firm that provides a variety of integrated service offerings promoting growth and revenue generation for small commercial businesses. The firm leverages proven methodologies and the experience of our principals and consultants to help clients expand existing contracts, enter new markets, and improve competitive positioning. The firm also delivers a range of IT solution to clients, including website and application development.