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


San Francisco, June 18, 2024 /PRNewswire/ — Domino Data Labwhich provides an industry-leading enterprise AI platform trusted by major AI companies, has been named a Gartner Visionary for 2024.® Magic Quadrant Data Science and Machine Learning Platform1The Magic Quadrant report evaluated 18 vendors based on their completeness of vision and ability to execute, positioning Domino as one of three vendors in the Visionaries quadrant. A Visionary is someone who understands where the market is headed or has the vision to change the market rules.2

For Domino, being named a Visionary is a testament to the company's strong position in a rapidly evolving market, continued innovation, business and ecosystem growth, and strong market traction from the company. Customers use Domino to solve their most complex life sciences, financial services, public sector and insurance challenges.

“For us, Gartner's recognition of Domino as a Visionary represents recognition of our commitment to helping the world's most advanced companies accelerate the impact of AI,” said Nick Elprin, CEO of Domino Data Lab. “In this new era of AI technology and a dynamic landscape of security and regulatory requirements, Domino remains the definitive platform for enterprises where AI plays a mission-critical role.”

Domino offers unparalleled support for enterprises that require robust AI security and governance. Unique platform flexibility also makes Domino the platform of choice for enterprise-wide AI development and deployment in a wide range of environments with a wide range of tools. Domino's enhanced generative and responsible AI capabilities increase its appeal and enable more enterprises to adopt innovative AI solutions.

Domino's recent platform enhancements include cutting-edge innovations such as:

  • AI Hub — A built-in repository of curated AI projects to help teams jump-start AI development for common use cases, including industry-specific use cases.
  • AI Gateway – Provides efficient access to external LLM services while ensuring governance and secure connectivity.
  • Model Sentry — Enabling end-to-end data and model governance, ensuring responsible and trustworthy AI practices are implemented by default.
  • Domino Nexus — Industry-leading hybrid and multi-cloud support enables you to run and manage AI workloads from a single pane of glass across any environment – ​​cloud, on-premise or hybrid – for optimal performance, compliance and reduced costs.
  • Domino Cloud for Life Sciences — A fully managed, audit-ready AI and Statistical Computing Environment (SCE) platform that supports both GxP and non-GxP applications.
  • Strong compliance and security certifications — Domino complies with both the Health Insurance Portability and Accountability Act (HIPAA) and General Data Protection Regulation (GDPR), is also ISO 27001:2013 and SOC 2 Type 2 certified, and supports GxP compliance.

Gartner clients can access the report here.
https://www.gartner.com/interactive/mq/5509595?ref=solrResearch&refval=416864281.

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

About Domino Data Lab
Domino Data Lab helps the largest AI-driven enterprises build and operate AI at scale. Domino's enterprise AI platform combines the flexibility AI teams demand with the visibility and control enterprises want. Domino enables a repeatable, agile ML lifecycle to deliver faster, more responsible AI impact at lower cost. Domino enables global enterprises to develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by leading investors including Sequoia Capital, Coatue Management, NVIDIA, and Snowflake. Learn more here. Domino.

1 Gartner, Magic Quadrant for Data Science and Machine Learning Platforms, Afraz Jafri, Aura Popa, Peter Krenski, Jim HareRug Vendor Bhatti Mariam Hassanlou,Tong Chang, June 17, 2024.

2 Gartner, Research Methodology, “Magic Quadrant”, https://www.gartner.com/en/research/methodologies/magic-quadrants-research

SOURCE Domino Data Lab



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