Semantic Advertising
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  Ben Zamanzadeh   Ben Zamanzadeh


Tuesday, August 19, 2014
05:00 PM - 06:00 PM

Level:  All - General Audience

Semantic Advertising technology delivers meaningful and relevant ads at Internet scale using Machine Learning, NLP and Big Data technologies. Online advertising affords advertisers the ability to simultaneously target highly granular consumer segments using individualized messages tailored to each person. However, this ability often results in a massive increase in data volume and complexity in online advertising. Managing the volume and complexity of data (aka Big Data) becomes the primary focus in the online-ad-campaign. Semantic technology solves this issue by transforming the Big Data to a semantic space where ad writers can focus on marketing strategies and the technology facilitates the individualization at scale. We will show case studies and explain;
  1. How Semantic technology will enable the generation of actionable insights from large volumes of noisy data and further apply it to marketing strategies on a larger scale.
  2. How Semantic Advertising facilitates the individualization of ads at scale.

As the Datapop's CTO, Dr. Ben Zamanzadeh is responsible for all aspects of technology, product planning, Research and Development. Prior to joining DataPop, Ben served as vice president of engineering at LeadPoint, where he led the development of state the of the art advertising and trading platforms. Previously as director of engineering at Yahoo!, Ben headed the domain match engineering team and was responsible for search algorithm development and ad serving technologies where Domain Match revenue grow to more than $650 M during this period. Prior to Yahoo!, Ben held executive level positions at various technology companies including Reuters and Teledyne. Ben holds a Ph.D. in computer science and an MBA from the University of California, Los Angeles. He also serves as vice president of the UCLA Computer Science Alumni Advisory Board.

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