AUSTIN, Texas--(BUSINESS WIRE)--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 utilize 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 de facto 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 is 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.
To learn more, join Bob Picciano, SVP of IBM Analytics, and Travis Oliphant, CEO of Continuum Analytics, at the IBM DataFirst Launch Event on Sept 27, 2016, Hudson Mercantile Building in NYC. The event is also available on livestream.
About Continuum Analytics
Continuum Analytics is the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python. We put superpowers into the hands of people who are changing the world.
With more than 3M downloads and growing, Anaconda is trusted by the world’s leading businesses across industries––financial services, government, health & life sciences, technology, retail & CPG, oil & gas––to solve the world’s most challenging problems. Anaconda does this by helping everyone in the data science team discover, analyze and collaborate by connecting their curiosity and experience with data. With Anaconda, teams manage their Open Data Science environments without any hassles to harness the power of the latest open source analytic and technology innovations.
Our community loves Anaconda because it empowers the entire data science team––data scientists, developers, DevOps, architects and business analysts––to connect the dots in their data and accelerate the time-to-value that is required in today’s world. To ensure our customers are successful, we offer comprehensive support, training and professional services.
Continuum Analytics' founders and developers have created and contributed to some of the most popular Open Data Science technologies, including NumPy, SciPy, Matplotlib, Pandas, Jupyter/IPython, Bokeh, Numba and many others. Continuum Analytics is venture-backed by General Catalyst and BuildGroup.
To learn more, visit http://www.continuum.io.