BuzzTalk monitors 53000 websites and captures 150,000 tweets on a daily basis. Now is the time for big data marketing to discover new opportunities.
Read the full article at: www.buzztalkmonitor.com
There is just so much content out there: the key is to use big data…
On the heels of the HP Big Data Conference earlier this month—and with the buzz around “big data” stronger than ever—we sat down with Big Data expert Colin Mahony to find out what companies are getting data right about Big Data—and where they are…
Read the full article at: h30499.www3.hp.com
This is a great post!
Big data has proven to be a useful tool for plenty of industries. And now it’s making its way into another type of business — one that’s not traditionally associated with high-tech tools — beer making.
Jason Cohen is a data scientist from State College, Pennsylvania. The entrepreneur, who is also a fan of microbreweries, was annoyed to find that some beer batches didn’t come out the way he wanted or expected them to. So, he created an app to help brewers create better beer batches.
Read the full article at: smallbiztrends.com
Who would have thought!
Data Science is increasingly driving many of the choices available to us. Algorithms help online companies recommend content, products and advertisements. Retailers are using them to target people for offers. They narrow down our romantic options and filter and recommend job candidates for corporations. Data algorithms are expected to be more objective than humans, but unfortunately can have bias and even discrimination built into them. Sometimes these outcomes reflect the unconscious biases of engineers; other times such errors are baked into machine learning itself. This panel will discuss the examples of algorithms going wrong and the causes for bias in data science and machine learning. Panelists will explore solutions to this problem, including the need for diversity in the promising field of data science and statistics, as well as approaches companies can implement to weed it out.
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Looks like a great event!
They’re the ones redefining how businesses interact with their customers. They’re the ones using data to transform their business models and to innovate.
Getting there is a matter of maturity, however. It takes a critical mass of data, tools, expertise, and dogged curiosity, as well as a willingness to act on the data. Even then, businesses get varied results.
Read the full article at: www.informationweek.com
This article is great!