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Open Data Science Comes To The Enterprise

Optimized Python experience empowers data scientists to develop advanced open source analytics on Spark.

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Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, today announced an alliance with IBM to advance open source analytics for the enterprise. Data scientists and data engineers in open source communities can now embrace Python and R to develop analytic and machine learning models in the Spark environment through its integration with IBM's Project DataWorks.

Combining the power of IBM's Project DataWorks with Anaconda enables organizations to build high-performance Python and R data science models and visualization applications required to compete in today’s data-driven economy. The companies will collaborate on several open source initiatives including enhancements to Apache Spark that fully leverage Jupyter Notebooks with Apache Spark – benefiting the entire data science community.

“Our strategic relationship with Continuum Analytics empowers Project DataWorks users with full access to the Anaconda platform to streamline and help accelerate the development of advanced machine learning models and next-generation analytics apps,” said Ritika Gunnar, vice president, IBM Analytics. “This allows data science professionals to use the tools they are most comfortable with in an environment that reinforces collaboration with colleagues of different skillsets.”

By collaborating to bring about the best Spark experience for Open Data Science in IBM's Project DataWorks, enterprises are able to easily connect their data, analytics and compute with innovative machine learning to accelerate and deploy their data science solutions.

“We welcome IBM to the growing family of industry titans that recognize Anaconda as the defacto Open Data Science platform for enterprises,” said Michele Chambers, EVP of Anaconda Business & CMO at Continuum Analytics. “As the next generation moves from machine learning to artificial intelligence, cloud-based solutions are key to help companies adopt and develop agile solutions --IBM recognizes that. We’re thrilled to be one of the driving forces powering the future of machine learning and artificial intelligence in the Spark environment.”

IBM's Project Dataworks the industry’s first cloud-based data and analytics platform that integrates all types of data to enable AI-powered decision making. With this, companies are able to realize the full promise of data by enabling data professionals to collaborate and build cognitive solutions by combining IBM data and analytics services and a growing ecosystem of data and analytics partners - all delivered on Apache Spark. Project Dataworks is designed to allow for faster development and deployment of data and analytics solutions with self-service user experiences to help accelerate business value.

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Topics:
python ,spark ,open data science platform ,machine learning ,artificial intelligence ,cloud-based solutions ,dataworks

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