“A lot of times when people think about big data, they think about it in ahistorical times…outside of this political context,” said Ruby Mendenhall, an associate professor of sociology at UIUC. “It’s really important to think about whose voice is digitized, in journals and newspapers. A lot of that for black women has been lost and you need to make a concerted effort to recover it.” Mendenhall’s study employs Latent Dirichlet allocation (LDA) algorithms and comparative text mining to search 800,000 periodicals in JSTOR (Journal Storage) and HathiTrust from 1746 to 2014 to identify the types of conversations that emerge about Black women’s shared experience over time.
In the video presentation below from Spark Summit East 2016 conference, Viacom, the global media company, explains how they are using Apache Spark and Databricks to quickly adapt to their audience by building a just-in-time data warehouse.
The infographic below from our friends over at Visenze was inspired by the growing trend on how AI capabilities and applications are attempting to solve real-world issues that e-commerce businesses are facing.
In this contributed by Julie Whipple, Global Director of Corporate Social Responsibility at Qlik, examines how visual analytics and BI can help nonprofits.
In the video presentation below, Jenn Webb, Managing Editor at Radar, interviews John Carnahan who serves as Executive Vice President of Data Science at Ticketmaster.
Envestnet | Yodlee, a leading data aggregation and data analytics platform powering dynamic, cloud-based innovation for digital financial services, announced the newest advancement to the Envestnet | Yodlee Financial Data Platform, Transaction Data Enrichment.
In this special guest feature, Nav Dhunay, President & CEO at ambyint, presents a high-level view of how Big Data is poised to disrupt the oil & gas industry.
ClearStory Boosts Top-Line Growth with Automated Analytics that Blend Disparate Data Sources Into Insights
ClearStory Data, the company bringing business-oriented Analytics and Data Intelligence to everyone through fast-cycle, disparate data analysis, announced faster, more meaningful brand analytics insights.
The presentation below by Eric Levine, Engineering Manager at Airbnb shows how Airbnb’s Trust and Safety team has built machine learning infrastructure from the ground up to catch and defuse fraudsters on the platform.