Announcement

Domino Data Lab named a Visionary in 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms

Domino2024-06-18 | 4 min read

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The 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms Report names Domino a Visionary. Gartner defines Visionary vendors as those who understand where the market is going or have a vision for changing market rules, but do not yet execute well.

Gartner evaluated 18 data science and machine learning (DSML) vendors worldwide. Of those, Domino was recognized as one of the three vendors positioned in the Visionaries Quadrant.

Collaborate with broad data and analytics tool support

Customers use Domino to solve the most complex life sciences, financial services, public sector, and insurance challenges. They want to empower their data science experts to innovate rapidly. Domino frees them of IT complexity and limits their dependence on costly DevOps resources. They can connect to any data in any format or scale and analyze it with the best tool for the job.

Focus on AI/ML governance and security

Many of Domino’s customers operate in the most demanding regulated industries. AI presents them with security and privacy challenges. Their guidance helped us enhance the Domino Enterprise AI Platform to offer robust governance functionality over the entire AI lifecycle. Domino offers extensive access management tools and our unique reproducibility engine is of special value to companies in regulated industries. The tool helps them track all changes to model code, data, and infrastructure. As a result, they can quickly produce audit reports and comply with data laws.

Faster time to market

Domino lets customers run their AI workloads on-premises, in the cloud, or as a hybrid of both. They can leverage compute clusters and GPUs to accelerate model training and scientific discovery. Domino also helps customers watch out for AI risks and failures. They mitigate risk through model review and approval tools. Data scientists can then deploy models as apps or APIs in Domino themselves without waiting for cloud or hosting specialists. They can also export models to services like AWS SageMaker. Customers can then ensure models perform as expected using Domino's model monitoring.

Stay on budget

Domino also helps you watch your corporate bottom line by tracking your AI spending. You can even charge back business units for their resource usage. Domino's Nexus feature allows you to run workloads based on execution cost or data location. And Domino's AI Gateway lets you switch large language model (LLM) providers effortlessly.

Next steps

Access the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms Report to learn more.

Disclaimer:

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.



Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform unifies the flexibility AI teams want with the visibility and control the enterprise requires. Domino enables a repeatable and agile ML lifecycle for faster, responsible AI impact with lower costs. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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