Weekly Big Data Catch-Up

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Big Data News, Events, and Expert Opinion

Excerpts:

A Team of Researchers Has Found a Way to Predict the Stock Market Using Search Terms

The Quest for ChangeWeeks before the release of their paper, “Quantifying the semantics of search behavior before stock market moves”, Dataconomy met with Dr. Suzy Moat and Dr. Tobias Preis to discuss their research on predicting the stock market by analyzing Google and Wikipedia searches. The initial two studies — which asked the question “Is there a relationship between what people are looking for on Google and Wikipedia and subsequent stock market moves?” — was released in April 2013, and received considerable media attention. Now, the two researchers, along with H. Eugene Stanley and Chester Curme, have come out with a follow-up study that seeks to look at their original findings from a different angle — essentially, which particular topics (Politics, Food, Sports) might have a relationship to stock market moves? The Initial...
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Steve Ballmer Advocates Machine Learning as the Next Era of Computer Science

Steve BallerSteve Ballmer, former Microsoft CEO and Harvard alumnus; who announced a significant donation to the Computer Science Department at Harvard last week is advocating machine learning as the next era of computer science. Ballmer expressed his excitement about the ability of computer and IT to process huge amounts of data not only to see patterns but to suggest actions and understand human intent. “I think it’s the dawn of an exciting new era of info and computer science,” Ballmer told Computerworld. “It’s a new world in which the ability to understand the world and people and draw conclusions will be really quite remarkable… It’s a fundamentally different way of doing computer science.” His emphasis on the potential of machine learning and artificial intelligence (AI) in being able to shape our...
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Teradata and MapR Partnership Expands Hadoop Choices within Teradata’s Unified Data Architecture

Teradata and MapR Partnership Expands Hadoop Choices within Teradata’s Unified Data ArchitecturePress Release: Teradata, the big data analytics and marketing applications company, and MapR Technologies, Inc., a provider of Apache™ Hadoop, today announced an expanded partnership that covers technology integration, road map alignment, and a unified go-to-market offering. The two companies are optimizing integration of the MapR Distribution within the Teradata® Unified Data Architecture™, providing customers more choices when combining Teradata’s best-in-class data warehousing with Hadoop, discovery platforms, and NoSQL options to drive analytic innovation. The agreement also provides for Teradata to resell MapR software, professional services, and customer support and serve as the single point of contact for customers that use both Teradata and MapR solutions. Orchestration capabilities such as Teradata QueryGrid ™and Teradata Loom® will be directly integrated with MapR software. QueryGrid is the seamless data fabric that both optimizes...
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Measuring the Mobile App Economy

Priori Data App EconomyIf there was ever a fascinating time to be immersed in the app economy, it is now. After experiencing a huge and flourishing boom, the industry now faces a period of change, maturity, or decline, depending on who you’re talking to. Berlin-based Priori Data are in a unique position to comment upon the changing app landscape; their platform offers users the ability to track and benchmark over 2.5 million apps. We recently sat down with Director of Data Science Michelle Tran and Director of Content Natasha Yarotskaya about what insights into the market their data has uncovered, as well as what to expect from the latest version of their platform, which is released today.  Tell us about yourself and your work. Michelle: I am Michelle Tran, and I am the...
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Data Scientists Tackle High-Impact Social Problems at Bayes Impact Hackathon

Bayes Hckathon 2014At a hackathon hosted by Bayes Impact, data scientists pitted against each other to develop data driven and implementable software solutions for high impact social problems. The winning hack will become a Bayes Impact project, staffed with full-time data scientists and engineers who will work with their partners to bring the hack to life. Bayes Impact is a Y combinator- backed nonprofit that deploys data scientists to solve big social problems with civic and nonprofit organizations. They run a 12-month full-time fellowship for leading data scientists and work with civic and nonprofit organizations such as the Gates Foundation, Johns Hopkins and the White House. Co-hosted by Jerry Yang’s AME Cloud Ventures and Joe Lonsdale’s Formation; more than 100 data scientists, engineers and designers at the OpenDNS headquarters were given 24...
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How Ford Uses Data Science: Past, Present and Future

4628864048_b8d18cfcbd_bSuccess stories of how data-driven practices can revitalise businesses are rife today, but there are few as compelling as the story of Ford. In 2006, the legendary car manufacturers were in trouble; they closed the year with a $12.6 billion loss, the largest in the company’s history. As we reported earlier in the year, through implementing a top-down data-driven culture and using innovative data science techniques, Ford was able to start turning profits again in just three years. I was recently lucky enough to speak with Mike Cavaretta, Ford’s Chief Data Scientist, who divulged the inside story of how data saved one of the world’s largest automobile manufacturers, and well as discussing how Ford will use data in the future. As an overview, how do Ford use data science? So...
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