SmartData Webinar: Machine Learning Techniques for

Analyzing Unstructured Business Data

DATE: October 8, 2015

TIME: 2 PM Eastern / 11 AM Pacific 

PRICE: Free to all attendees.

To register for this webinar, please fill out the below form and click "Submit."

About the Webinar

Over 70% of enterprise data is unstructured text, and business leaders are keenly aware of the vast potential of such document repositories. Few however know how to harness this knowledge. Deciding on the nature of the data and the technologies to use can be a daunting task, and the uncertainty on the ROI of such an exercise only adds to the confusion.

This talk focuses on a number of common use cases where machine learning and NLP techniques have delivered valuable results. Some of the most important questions that need to be answered in preparation of a complex analytics solution involving unstructured data will be discussed; and some possible choices will be evaluated. This talk will leave data decision makers such as CIOs better equipped to tap into the wealth of knowledge that is available on their servers.

About the Speaker

Nick Pendar
Senior Data Scientist at Skytree

As a natural language processing (NLP) expert, Nick Pendar applies machine learning and data mining techniques to textual data in order to classify, extract and organize information from a variety of sources. Nick received his Ph.D. from the University of Toronto in 2005, and in the same year started an academic position at Iowa State University, where he conducted and directed research on NLP and text categorization for various educational and legal purposes. Prior to joining Skytree as a Senior Data Scientist, Nick also held engineering and R&D positions at Groupon, Uptake and H5. He has published papers and given numerous talks on the topic of NLP to a variety of audiences for over 15 years; he has also filed multiple patents, and is an active member of several related professional organizations and conferences.