Cognitive analytics is innovating and evolving rapidly. Expert predictions in this area are essential for organizations that plan to leverage cognitive analytics in their big data analytics strategies in 2016 and beyond
SPSS Modeler was the star of its own ring at IBM Insight 2015. Take a look at what attendees learned about the latest and greatest capabilities of Modeler to see how Modeler can help your organization find its place in the insight economy.
Expand the boundaries of your possibility thanks to Apache Spark. Big data analysis is undergoing a paradigm shift powered by Spark, which supercharges the Hadoop ecosystem to help organizations accomplish things that were once thought impossible.
Insight 2015 has been a one-of-a-kind experience, treating attendees to an in-depth look at how cloud technology can drive continuous innovation in their industries. Hybrid solutions are the order of the day in data management, and Insight attendees are leading the way.
At IBM Insight 2015, you’ll be able to discover the latest and greatest in the SPSS universe. A lot will be going on at Insight, so take care not to miss the sessions that will interest you most. Learn the ins and outs of SPSS sessions at Insight, allowing you to make the most of your Insight
IBM provides the latest predictive analytics techniques to help organizations along on the journey to big insights. Innovative approaches in the IBM solution portfolio include sophisticated tools for geospatial analytics, text analytics and entity analytics. Take advantage of IBM’s active and
The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few
Big Data without analytics is just data, but how do you perform the analytics? Christy Maver, product marketing manager for InfoSphere BigInsights, answers that question and gives examples of how in-Hadoop analytics are changing the game.
For more information about the IBM big data platform and
This past August, Big Data University (BDU) reached a milestone: 100,000 registered users! From its humble beginnings in early 2011, we continue to see rapid growth in the number of registrations. As of the time this blog post was written, we are now at 118,500 users. The chart below says it all!
Big data is an industry ecosystem in which the open-source approaches have great momentum. Open-source platforms—including Hadoop, NoSQL and R—are expanding their footprint in advanced analytics. As the enterprise Hadoop market continues to mature and many companies deploy their clusters for the
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of information glut, DW appliance POCs, handheld petabytes, and online recommendation engines. I started up a new thread on crowdsourcing in big data modeling, development,
Game-changing analytics applications don't spring spontaneously from bare earth. You must plant the seeds through continuing investments in applied data science and, of course, in the big data analytics platforms and tools that bring it all to fruition.