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Using Big Data to Predict Online Trends

Digital advertising is an industry whose foundation is massive volumes of data. Ad tech companies must be at the forefront of innovation in modeling and data infrastructure to support and understand the amounts of information that form this foundation. As a result, these companies are behind some of the most fundamental innovations in handling and analyzing large volumes of data.

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Channels: Data Summit

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69 videos match your search.
A Brief Address by Conrad Wolfram7:13
Working with Dirty Data: To Cleanse or Not to Cleanse... and How to Decide25:31
Scientific Data, Privacy22:25
Big Brother vs. Big Data: Privacy-Preserving Threat Analytics at Scale22:00
Using Big Data to Predict Online Trends21:41
Data Science for Data-Driven Application Systems in the Internet of Things35:26
Protecting Consumers of Financial Products and Services26:46
Bidding Strategies for Display Advertising: How to Avoid Boiling the Ocean22:34
Data is the Only Marketplace21:34
Open Data Science: Leveraging Public Data to Explore Urban Life24:05
Data as Code/Code as Data21:05
The Webdata Blindspot: How Data-Driven Companies Are Missing Out on the Internet14:05
Building and Linking the Public Goods of the 21st Century25:33
Data Sleuth: Detecting and Recovering Missing Data in International Trade Networks13:57
Prospecting for Habitable Planets25:03
Quantifying, Visualizing, and Forecasting Global Human Society: What It Looks Like to Compute on the Entire Planet21:17
2016 Election Media as Data 18:06
Inconvenient Truths: What Do We Know, How Do We Know It, and How Do We Know We Know It?29:23
Strategies Toward Improving the Utility of Scientific Big Data27:44
5th Annual Wolfram Data Summit: Opening Keynote75:28