Semantic technology to shed light on Big Dark Data
Share this Session:
  Ben Zamanzadeh   Ben Zamanzadeh
Vice President of Engineering
DataPop
 


 

Monday, June 3, 2013
05:00 PM - 06:00 PM
Level:  Business/Strategic

Location:  Imperial B

Big Data is mostly Dark Data and lacks meaning. Most Big Data solutions have focused on the development of large-scale statistical harvesting of patterns in numeric or textual data. However, significant amount of expensive human effort is still required in order to convert extracted patterns into actionable business intelligence. Semantic data modeling has introduced a new era in data sciences and will help shape future of Human-Machine relationship. Evolution of Composite Semantic Data Models has made it possible to infer insights from Big and Complex Data sets which otherwise not possible. DataPop's Semantic Advertising Technology uses Machine Learned Semantic Models to build and analyze advertising campaigns that surpasses conventional advertising capabilities. Composite Semantic Data Models are used to translate Big piles of Data into meaningful entities, then Inference Engines transcribe information such that decisions and strategies can be formed. Semantic Methods has made it possible for us to explain the reasoning behind "why" things happen. Semantic Advertising's inductive methodology in effect COLORs the data with strategic reasoning and decision support insights.


As the vice president of engineering, Dr. Ben Zamanzadeh is leading technology planning, execution and R&D at DataPop. Prior to joining DataPop, Ben served as vice president of engineering at LeadPoint, where he managed technology operations and growth. 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 UCLA. He also serves as vice president of the UCLA Computer Science Alumni Advisory Board.


   
Close Window