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I just listened to an interesting IBM Google hangout about big data called Visions of Big Data’s future. You can watch it here. There were some great experts on the line including James Kobelius (IBM), Thomas Deutsch (IBM), and Ed Dumbill (Silicon Valley Data Science). The moderator, David Pittman, asked a fantastic question, “What’s taking
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Predictive analytics, a technology that has been around for decades has gotten a lot of attention over the past few years, and for good reason. Companies understand that looking in the rear-view mirror is not enough to remain competitive in the current economy. Today, adoption of predictive analytics is increasing for a number of reasons
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It’s a good day. Our new book, Big Data for Dummies, is being released today and I’m busy working on a Big Data Analytics maturity model at TDWI with Krish Krishnan. Krish, a faculty member at TDWI, is actually presenting some of the model at the TDWI World Conference: Big Data Tipping Point taking place
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Last week I attended the IBM Big Data at the Speed of Business event at IBM’s Research facility in Almaden. At this analyst event IBM announced multiple capabilities around its big data initiative including its new BLU Acceleration and IBM PureData System for Hadoop. Additionally, new versions of Infosphere Big Insights and Infosphere Streams (for data
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I am excited to announce I’m a co-author of Big Data for Dummies which will be released in mid-April 2013. Here’s the synopsis from Wiley: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as
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It’s been a while since I updated my blog and a lot has changed. In January, I made the move to TDWI as Research Director for Advanced Analytics. I’m excited to be there, although I miss Hurwitz & Associates. One of the last projects I worked on while at Hurwitz & Associates was the
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While text analytics is considered a “must have” technology by the majority of companies that use it, challenges abound. So I’ve learned from the many companies I’ve talked to as I prepare Hurwitz & Associates’ Victory Index for Text Analytics,a tool that assesses not just the technical capability of the technology but its ability to
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As the volume and variety of data continues to increase, we’re going to see more companies entering the market with solutions to address big data and compliant retention and business analytics. One such company is RainStor, which while not a new entrant (with over 150 end-customers through direct sales and partner channels) has recently started
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I just started writing a blog for AllAnalytics, focusing on advanced analytics. My first posting outlines five use cases for text analytics. These include voice of the customer, fraud, warranty analysis, lead generation, and customer service routing. Check it out. Of course there are many more use cases for text analytics. On the horizontal solutions
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Fern Halper's data makes the world go 'round 