See on Scoop.it – Corporate Challenge of Big Data
The choices are getting a lot better for businesses that want out-of-the-box functionality for machine learning, predictive analytics and general data science.
See on gigaom.com
See on Scoop.it – Corporate Challenge of Big Data
The choices are getting a lot better for businesses that want out-of-the-box functionality for machine learning, predictive analytics and general data science.
See on gigaom.com
See on Scoop.it – Corporate Challenge of Big Data
Gartner is right about big data projects proceeding slowly in the corporate world. People are still figuring out how exactly big data works.
See on www.fiercebigdata.com
See on Scoop.it – Corporate Challenge of Big Data
Despite the much-discussed power of data, there are roles for people to play in big data projects. Data increasingly influences companies’ decision making processes, but several speakers hit on the notion that people should be involved in big data storage and analysis.
Beyond questions, humans need to decide which algorithms to employ and which data to use to answer questions, said Scott Brave, founder and chief technology officer of Baynote.
See on gigaom.com
See on Scoop.it – Corporate Challenge of Big Data
Summary:
“My biggest fear is that data science is used as a blunt tool and that people don’t understand the cultural implications of quantifying our world,” says Jake Porway, founder of DataKind, an organization that brings together leading data scientists and high impact social organizations through a comprehensive, collaborative approach that leads to positive action through data. He’s as much a data philosopher as scientist.
See on mashable.com