Posts Tagged ‘DataPop’

Ready, Set, Lightning! 5-Minute Talks at SemTechBiz — Part 2

During the recent Semantic Technology and Business Conference in San Francisco, a motley crew of expert presenters got up in front of a packed room, took a deep breath, and spoke passionately about the semantic projects nearest and dearest to their hearts while the unforgiving clock ticked their five precious minutes away. At the conference I shared highlights from some of those aptly named Lightning Sessions. Here are a few more snappy sessions that captivated the room that day:

Semantic Technology to Shed Light on Big Dark Data with Ben Zamanzadeh, DataPop

DataPop is a startup in the field of semantic advertising. The company seeks to create actionable insights for clients with semantics. As Ben put it, “Ad data is still dark data. Consumer actions are very hard to understand and even harder to predict.” The talk description explains DataPop’s approach: “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.” Read more

Late-Breaking Program Additions for Semantic Technology & Business Conference

The Semantic Technology & Business Conference begins in a few short days. If you haven’t registered yet, it’s not too late, and if you haven’t looked at the program recently, be sure to check out some of these exciting late-breaking additions…

Photo of Jason DouglasKEYNOTE:
What Google is Doing with Structured Data
Jason Douglas, Group Product Manager, Knowledge Graph, Google

Photos of Dan Brickley, R.V. Guha, Sandro HawkeHOT TOPIC PANEL:
WebSchemas: Schema.org and Vocabulary Collaboration

Dan Brickley, Developer Advocate, Google
R.V. Guha, Google Fellow, Google
Sandro Hawke, W3C Technical Staff, W3C/MIT

(More panelists TBA)


BREAKOUT SESSIONS:

Building Your SmartData Accelerator
Robert Kruse, Managing Partner, SmartDataAccelerator
Gene Mishchenko, Lead Information Architect, Standard & Poor’s Ratings Services

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DataPop Launches Semantic Ad Platform for Google Product Listing Ads

Based on its flagship creative optimization technology, DataPop has officially launched today the industry’s first Product Listing Ads (PLA) platform that drives significant performance based upon semantic technology. DataPop’s platform seamlessly extracts the most relevant information from retailer product feeds that best connects to consumer intent. Retailers with early access to DataPop’s PLA platform have already seen triple-digit increases in click and conversion volumes from Google PLA. Read more

Capitalizing on Data without Doing the Dirty Work

Derrick Harris reports that as data continues to explode, business owners don’t need to rush back to school for a degree in Big Data analytics in order to capitalize on it. He writes, “Machine learning is high data science — a discipline focused on algorithms that automatically detect complex patterns hidden within datasets — and it’s fast becoming something that anyone leverages to sell more handbags, or solve a research problem, or build the next LinkedIn or Facebook… If you’re a small business or maybe even an individual, you need something easier. You need something in the cloud. And you need someone else to handle the hard parts.” Read more

DataPop Raises $7M in Series B Funding

Derrick Harris reports that DataPop, an LA-based startup that uses Big Data to deliver custom online ads has raised $7 million in Series B funding. Harris states, “The company’s technology uses big data techniques such as natural-language processing and semantic association to automatically generate online ads based on what a web user has searched for. Essentially, the DataPop service works like this: DataPop gathers information on products, services, promotions and other relevant  data from customer web sites; it then automatically presents ads for those products, etc., when someone searches for something related on Google or Microsoft; the ads appear as if a human wrote them, not just a collection of keywords.” Read more