Rapid advances in cognitive computing and machine learning are enabling smart guidance in many scenarios. Coming on the heels of several key recent announcements, discover how line-of-business and other users can now leverage the full range of analytics—cognitive, descriptive, predictive and
Apache Spark provides a processing framework that is well suited for collaboration among data scientists, developers and data engineers who create highly adaptive solutions. Attendees at Insight 2015 can learn much more about the Spark framework that is built for speed, ease of use and
Thanks to big data and analytics, the public sector has made great strides in a short time. See for yourself how much progress has been accomplished, and find out how you can take advantage of these advances.
When you step outside your analytics comfort zone, you could bring groundbreaking innovations with you when you step back in. Take a look at how cross-industry analytics applications are carrying businesses to new frontiers.
The data science revolution is bringing a shift in the direction of the cloud—and with it a sea change in the roles of IT professionals. Discover how focusing on data science can help you keep your career afloat in a changing business environment.
Why are people talking about Apache Spark? It’s because many organizations are using the myriad features of this open source engine to boost their predictive analytics processing. The result? Better, deeper and faster data analyses with reduced coding time and effort.
Advanced analytics can boost organizational decision-making and offer multiple benefits including increased revenue and decreased costs. However, achieving these goals requires an emphasis on three strategic pillars: focusing on business decisions, embracing an agile culture and investing in an
Inaccurate perceptions of predictive analytics are common in the business world. In reality, predictive analytics is straightforward to understand, can leverage existing skillsets in business and IT organizations, and can deliver value in most industries and lines of business. Getting started with
Many students at today’s colleges and universities balance their studies with full-time employment. Reflecting on her own daughter’s pressures from attending school and working a full-time job, Jen considers the innovative use of advanced analytics used by some institutions of higher learning to
IBM is investing deeply in Spark in a wide range of long-term initiatives. Discover how IBM’s long history of joining powerful, innovative open-source projects allows it to create markets by contributing significant technological improvements and supporting business solutions.
An open-source software platform called Apache Spark is growing rapidly in popularity as an essential platform for rapidly modeling, exploring and analyzing data. Here are nine reasons why developers and data scientists are primed to #SparkInsight with Spark.