Red Hat announced new end-to-end Kubernetes-native decision management capabilities as part of the latest release of Red Hat Process Automation.
IBM announced a cloud-based development environment for near real-time, high performance analytics, giving data scientists the ability to access and ingest data and deliver insight-driven models to developers.
Available on the IBM Cloud Bluemix platform, the Data Science Experience provides 250 curated data sets, open source tools and a collaborative workspace to help data scientists uncover and share meaningful insights with developers, making it easier to rapidly develop applications that are infused with intelligence.
Building on its $300 million investment in developing Apache Spark as a type of “analytics operating system,” IBM created the Data Science Experience to extend the speed and agility of Spark to more than two million members of the R community through new contributions to SparkR, SparkSQL and Apache SparkML. As a result, data scientists who work in R will have faster access to more data, and in turn, more insights delivered from the IBM Cloud.
The Data Science Experience’s open and collaborative environment allows data scientists to accelerate and simplify data ingestion, curation and analysis by bringing together the content, data, models, and open source resources from IBM and others including H2O, RStudio, Jupyter Notebooks on Apache Spark in a single security-rich managed environment.
“With Apache Spark, we see an opportunity to significantly transform the role of the data scientist by providing access to curated data sets, open source tools and a collaborative platform to accelerate innovation,” said Bob Picciano, SVP, IBM Analytics. “IBM’s Digital Science Experience is the killer enterprise app for Apache Spark, and gives data scientists new opportunities to deliver insight-driven models to developers, and opens the door for unprecedented innovation from the open source community.”