ENTRIES TAGGED "data company"
Electronic Arts CTO Rajat Taneja on big data's growing role in the video game world.
Electronic Arts (EA) isn’t the first company that comes to mind when you think of big data. Yet the gaming company is collecting increasing amounts of data about its online players, and as this data accumulates and gains steam, it falls under the big data category.
If a game maker like EA is considered a big data company, it could have implications for other companies we might not think of as typical big data generators. With that in mind, I got in touch with Rajat Taneja, chief technology officer at EA and a keynote speaker at the upcoming Strata Conference in California. Since Taneja came on board with EA in 2011, he’s helped steer the company’s technological initiatives, including understanding the impact this growing data store will have on the firm — both from a processing standpoint and how to use it to provide games and services customers want most. He says no matter what your company does, if you have constantly connected online services, you are very likely going to be dealing with lots of data.
Our interview follows. Read more…
With a new mobile app and API, Captricity wants to build a better bridge between analog and digital.
Unlocking data from paper forms is the problem that optical character recognition (OCR) software is supposed to solve. Two issues persist, however. First, the hardware and software involved are expensive, creating challenges for cash-strapped nonprofits and government. Second, all of the information on a given document is scanned into a system, including sensitive details like Social Security numbers and other personally identifiable information. This is a particularly difficult issue with respect to health care or bringing open government to courts: privacy by obscurity will no longer apply.
The process of converting paper forms into structured data still hasn’t been significantly disrupted by rapid growth of the Internet, distributed computing and mobile devices. Fields that range from research science to medicine to law to education to consumer finance to government all need better, cheaper bridges from the analog to the digital sphere.
“I was looking at the information systems that were available to these low-resource organizations,” Chen said in a recent phone interview. “I saw that they’re very much bound in paper. There’s actually a lot of efforts to modernize the infrastructure and put in mobile phones. Now that there’s mobile connectivity, you can run a health clinic on solar panels and long distance Wi-Fi. At the end of the day, however, business processes are still on paper because they had to be essentially fail-proof. Technology fails all the time. From that perspective, paper is going to stick around for a very long time. If we’re really going to tackle the challenge of the availability of data, we shouldn’t necessarily be trying to change the technology infrastructure first — bringing mobile phones and iPads to where there’s paper — but really to start with solving the paper problem.”
When Chen saw that data entry was a chokepoint for digitizing health indicators, he started working on developing a better, cheaper way to ingest data on forms. Read more…
A glimpse into enterprise use of big data.
Feedback from a recent Strata Online Conference suggests there's a large demand for clear information on what big data is and how it will change business.
Figshare wants research data, Accel makes a huge data investment, LinkedIn shares its DataFu.
Figshare relaunches with an eye toward making more research data accessible. Elsewhere, Accel invests $52.5 million in Code 42 and LinkedIn open sources DataFu.
Companies that employ data feedback loops are poised to dominate their industries.
We're moving beyond an information economy. The efficiencies and optimizations that come from constant and iterative feedback will soon become the norm for businesses and governments.
Smart companies use data to ask the right questions and take swift action.
Alistair Croll looks at how data is shaping consumer expectations and how those expectations, in turn, are shaping businesses. He also examines where business intelligence stops and big data starts.
Google's Kathryn Dekas on how a data-driven mindset applies to human resources.
Google's people analytics manager Kathryn Dekas discusses the ways in which human resources departments can use data for the benefit of both employers and employees.