Monetizing Content with Semantic Technologies

DATE: October 15, 2014

TIME: 2 PM Eastern / 11 AM Pacific 

PRICE: Free to all attendees.

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About the Webinar

Semantic technology solves a concrete problem: sorting through large collections of unstructured data. With unstructured data expected to account for over 80 percent of all data within the next five years, the ability to target this data using semantic technology opens doors to better understand context and intent in search, and ultimately achieve greater visibility and relevant results. This presentation will showcase how semantic technologies can understand articles content and select contextually relevant adverts to most effectively monetize content for advertisers and publishers.

* Discover how semantic technology helps thousands of advertisers reach their audience in a meaningful way, and helps hundreds of online publishers monetize their content.
* Learn how semantic technology reduces errors and time spent by marketers when defining their campaigns and yield better overall results.
* Understand some of the challenges that come with semantic technologies and how to address them ahead of time.
* Go behind the scenes with semantic and linguistic processing of web pages.

About the Speaker

Gerald Burnand is the chief technology officer at NTENT, a search technology company that leverages its proprietary services to deliver more valuable results for advertisers, publishers, and consumers across targeted vertical industries. Gerald has over 25 years of experience in the domain of computer science, with an emphasis on semantic search technologies for the past 10 years. At NTENT, Gerald is able to exercise his passion for solving problems involving Big Data and semantics. Previously, Gerald delivered complete solutions for an auction house and a private bank in Switzerland. During the last 12 years with this company, Gerald worked on projects ranging from video analysis and video broadcasting platforms, to enterprise search and web scale search engine. Gerald holds a degree in Computer Science, Management and Finance from the University of Geneva in Switzerland.