IBM and Anaconda partner to accelerate AI innovation with the power of open source data science
The data science market is evolving rapidly. Businesses need to respond to a volatile climate and be able to scale cost-efficiently by automating AI lifecycle management. A key phase in the AI lifecycle is model selection, training, and deployment. Many data scientists and developers today want to make use of the latest open source innovations during these steps. Therefore, I’m excited to share that IBM and Anaconda are joining forces under an OEM agreement to simplify the deployment of data science projects across any cloud.
A unique partnership to deliver AI acceleration and innovation
The unique partnership between IBM and Anaconda is aimed at accelerating the time to build and scale AI while taking advantage of vibrant, open source innovation. To start, we are bringing together Anaconda technology and IBM Cloud Pak for Data to create Anaconda Repository for IBM Cloud Pak for Data. This is designed to help organizations automate AI lifecycles with comprehensive, managed and curated open source libraries and tools. With 20 million users, Anaconda pioneered the use of Python for data science in the open source community. Cloud Pak for Data provides a fully integrated data and AI platform that makes it easy for businesses to implement and operationalize AI.
Data science projects that are multicloud ready
What makes Anaconda Repository for IBM Cloud Pak for Data so compelling is that it offers enterprise-grade open source data science package management as part of delivering cloud-native AI apps. It supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud and private cloud deployments. Organizations can optimize data science and AI investments using data, models, resources, and open source packages anywhere.
Elevate and manage open source data science projects
Anaconda Repository for IBM Cloud Pak for Data delivers the speed of open source with the confidence that packages are securely managed and governed for enterprise use. Organizations can differentiate with technology and frameworks on the cutting edge of data science and machine learning. Productivity and efficiency increase because open source and proprietary data science packages are easily accessed.
We are super excited about how this partnership empowers businesses to drive success with AI. Please read the press release here and get a closer look at our joint solution by registering for a webinar hosted by IBM and Anaconda. You are also invited to explore:
Solution brief: Innovate. Govern and secure. Optimize.