Anaconda And IBM Watson Team To Simplify Adoption Of AI Technologies
Anaconda, provider of a Python data science platform, and IBM Watson announced a new collaboration to help simplify enterprise adoption of AI open-source technologies.
Today, we see that data scientists rely on open-source technologies for innovation and to tap into a wealth of AI skills and talent. However, using open source in the enterprise could be complex to adopt and manage from both a technical and operational standpoint. To help enterprises overcome this challenge, Anaconda Team Edition repository will be integrated with IBM Watson Studio on IBM Cloud Pak for Data, enabling organizations to better govern and speed the deployment of AI open source technologies across any cloud.
Additionally, Anaconda’s community of 20 million users will now be able to access a no-charge lite plan of Watson Studio, offering the opportunity to manage their data science projects within IBM’s enterprise grade environment.
Anaconda and IBM help customers unleash full potential
“AI for business is only as good as the ecosystem it supports, so it’s a natural fit for Watson to work with Anaconda,” said Daniel Hernandez, General Manager, Data and AI, IBM. “By bringing the power of Anaconda to Watson, enterprises can now tap into a repository of open source tools that they can manage in any cloud environment.”
Our aim at Anaconda is to help organizations unleash their full potential through data science, and we’re proud to work with IBM to give their customers the latest open source data science packages in an enterprise-friendly way,” said Peter Wang, CEO and co-founder of Anaconda. “Both our companies share a goal of making data science and machine learning more accessible, and this relationship is a further step in that direction.”
The collaboration includes an original equipment manufacturing (OEM) agreement to market the Anaconda Team Edition solution with IBM Watson Studio as part of IBM Cloud Pak for Data, an automated AI lifecycle platform that is designed to make it easy for businesses to build and operationalize AI.