by Angela Guess

A recent press release reports, “DataScience, Inc. today announced the DataScience Cloud, a platform that enables data scientists to explore varied data sources, build models and algorithms, and seamlessly deploy work throughout their entire organization, regardless of their tech stack and level of engineering support. The DataScience Cloud is the culmination of the best practices DataScience has established over two years of working with clients to perform high-volume data engineering, data analysis, and predictive modeling work. The platform launches as a direct competitor to SAS for enterprise data science teams that seek a more modern, full-service platform designed to support their end-to-end workflows.”

Ian Swanson, CEO of DataScience, noted, “Leading companies see data science as an integral part of every business function, but many data science teams lack the unified tooling, infrastructure, and engineering support for their diverse workflows and needs… The result is a broken and inefficient process which inhibits the ability of data science teams to experiment efficiently, collaborate with each other, and deliver value at scale. Working closely with our customers, we designed the DataScience Cloud as a platform for enterprise data science teams to work seamlessly from data integration to model deployment, backed by secure big data infrastructure and industry expertise. What Salesforce has done for maximizing the value of sales teams, DataScience is doing for maximizing the value of data science teams.”

Read more at Marketwired.

Photo credit: DataScience