Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building
Machine learning is finding its way into a variety of applications. Discover an open source machine learning platform that combines the data processing power of Spark with powerful machine learning algorithms courtesy of the H2O platform to tackle challenges technologists face when applying machine
A world that grows increasingly complex calls for disruptive innovation in an open, collaborative environment. See how open data science provides an ecosystem of expertise, skill sets and advanced open source data science tools that fuels collaborative creativity in the development and deployment
Use open-source tools to supercharge the data science lifecycle, giving data science teams a boost as they work to provide compelling results in the complex team environments that mark modern corporations. Learn how you can make open data science an ongoing part of your business environment when
Data science takes collaborate teams of data scientists engaging in productive, open data development initiatives that can ensure strong workflow, governance, security and management. See why open environments are revolutionizing the data science landscape.
As Spark continues to mature into mainstream adoption in the data science community, the open data analytics stack and open source tools grow more robust, giving data scientists rich core workbenches to develop evermore innovative applications.
An open ecosystem thrives on a mature core platform. It also depends on partnering arrangements that incentivize solution providers to continue developing standards-based interoperability around the shared environment. Take a deeper dive into recent announcements of new open ecosystem milestones
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