Data Wins: The WibiData Blog

WibiData’s Jon Natkins Presents at BrightTALK’s Hadoop Evolution Summit

23 January 2014 By WibiData Staff Comments.

This Wednesday, WibiData field engineer Jon Natkins' presented, “Building a Real-Time Recommendation System” during BrightTALK’s Hadoop Evolution Summit.  Jon joined a prestigious list of presenters from organizations such as NASA, Cloudera, Trulia, Warwick Business School and Syncsort to discuss successful Hadoop executions, analytics innovation and deriving business value from Big Data. Watch Jon’s webinar below! Consumers are constantly searching for something new, and to stay competitive, organizations must act immediately based on up-to-date data. Improving the relevancy of recommendations results creates better user experiences for customers, builds brand loyalty,

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WibiData Debuts Real-Time Retail Solution at NRF’s the Big Show

10 January 2014 By Rob Seaman Comments.

I can’t speak for all consumers, but in my life, for roughly every 20 or so “why the hell was that so difficult?” customer service experiences, there is approximately one frictionless, serendipitous experience that gives me hope for my blood pressure and the companies that nudge it north.  At WibiData, we are embarking on a journey of developing innovative Big Data and predictive analytic technologies that radically flip the ratio of difficulty to serendipity within every consumer brand interaction. This Sunday, WibiData will be showcasing how our software allows the world’s largest retailers to

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Top 10 Big Data Resolutions for 2014

8 January 2014 By WibiData Staff Comments.

Happy New Year from WibiData!  Now that we've reflected on all the great moments in 2013 and toasted to the start of a new year, there is only one thing left to do -- make some audacious goals! So, what BIG Resolutions can we make for 2014? As a company, we huddled together to create a list of Big Data Resolutions to keep and make in 2014. Here are the top 10 Big Data New Year Resolutions from WibiData: I will not smash my coffee cup when a node fails. I will pay closer attention to how my unsupervised learning jobs are

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