by Angela Guess

According to a recent press release, “DataScience.com has rolled out extensive new features to its platform to accommodate the requirements of enterprise data science teams, including the ability to deploy on-premise and across multiple public cloud providers. The latest release expands enterprise support for data scientists’ tools of choice, including Jupyter, RStudio, Python, R, Spark, and SAS. With the platform, data science teams can now optimize workflows by grouping code and model outputs into projects and leverage version control tools like Github thanks to new integrations.”

The release continues, “According to a study conducted by Forrester Consulting on behalf of DataScience.com, only 22% of companies are ‘Insights Leaders,’ meaning they embed data science into their operating models to drive significant business value. DataScience.com’s new release helps organizations realize value in their investments by giving data science teams the tools, libraries, and programming languages of their choice — which are often open source — supported by scalable infrastructure, security, and customizable workflows that make it easy to deploy results into production and share insights across departments.”

DataScience.com CEO Ian Swanson noted, “Organizations across the board now understand the importance of scaling data science and the cost of failing to do so… Our platform is designed to help data science teams work more collaboratively and effectively. Now, with our on-premise offering, your team can leverage their favorite data science tools and workflows in a platform hosted in your data center.”

Read more at Marketwired.

Photo credit: DataScience.com