Revealing the truth behind generative AI with our webinar series featuring insights from Forrester. Learn how to differentiate between generative and predictive AI and maximize AI's potential for your enterprise. Watch this short video to shatter the AI myths and explore real-world applications. Don't miss out! Dive deeper by watching the full on-demand webinar now. https://lnkd.in/gN6hdn45
Domino Data Lab
Software Development
San Francisco, CA 46,317 followers
The Enterprise AI platform powering over 20% of the Fortune 100
About us
Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. Our platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time. Domino is backed by leading venture capital firms: Sequoia Capital, Bloomberg Beta, Coatue Management, Dell Technologies Capital, Highland Capital Partners, In-Q-Tel, and Zetta Venture Partners.
- Website
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https://www.domino.ai
External link for Domino Data Lab
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2013
- Specialties
- Analytics, Machine Learning, Data Analysis, Predictive Analytics, Data Science, and Data Mining Technology
Products
Domino Enterprise AI Platform
Data Science & Machine Learning Platforms
Domino empowers the largest enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform unifies the flexibility teams want with the visibility and control the enterprise requires. As the factory for all AI, our platform 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.
Locations
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Primary
San Francisco, CA, US
Employees at Domino Data Lab
Updates
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Navigate through the complexities across model creation and management in this new AI world. David Menninger, SVP & Research Director at Ventana Research recommends that enterprises investing in AI consider Domino’s Enterprise AI Platform for supporting data science projects and machine learning operations. Want to learn more about how Domino Data Lab empowers businesses to scale AI initiatives with confidence and ease? Read this article by David here: https://lnkd.in/gMy3Nfqc
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Nearly 95% of enterprises need to update their AI governance frameworks to keep pace with the complexities of modern AI, especially with the rise of Generative AI. Effective governance is crucial for managing risks, ensuring compliance, and maintaining transparency. 👉 Read our latest report to discover how organizations are tackling these challenges and staying ahead. https://lnkd.in/g5ggDWcd
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This Labor Day, we honor the dedication of the people behind AI. At Domino, we know it's the hard work of data scientists, engineers, and teams that drive innovation. We're proud to support our customers, whose passion shapes the future of AI. Thank you for all you do. Enjoy a well-deserved break! #LaborDay #AI #Innovation
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Companies are rapidly putting GenAI into production, but more traditional AI is still the workhorse of workloads amongst enterprises. New research with BARC reveals that, in fact, more companies are putting predictive AI (53%) and advanced analytics projects (57%) into production than GenAI (49%). Download our free report to learn how AI is really at work inside enterprises today: https://lnkd.in/gGgw8BqQ
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See why Domino Data Lab is recognized in the 2024 Gartner® Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering report. Domino ranked: 3️⃣rd out of 17 vendors for the Governance Use Case 5️⃣th for the MLOps Use Case 6️⃣th for the Workload Orchestration Use Case We believe these scores highlight our openness, freedom of choice for data scientists, and enterprise controls for IT. Accelerate your AI journey with Domino! https://lnkd.in/gDAUUP-5 #Gartner #MLOps #AI
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AI development costs can be intimidating, but there are smart ways to manage them. Kjell Carlsson, Ph.D. from Domino Data Lab shares how companies are leveraging synthetic data to streamline and automate data labeling—one of the most labor-intensive aspects of AI. This approach not only cuts down on time but also makes the entire process more cost-effective. 👉 Read the full article in Fortune for more strategies on optimizing AI operations. https://lnkd.in/g389g2Ce #AI #GenerativeAI #AICost
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It's not too late to virtually join the Center for Security and Emerging Technology (CSET) for “Building the Tech Coalition.” from 1:00 p.m. to 5:00 p.m. ET. Catch a live discussion on how technology companies and the operating forces came together to prototype and build a substantial new capability for the US Army and how MSS and Scarlet Dragon can be a case study in prototyping to accelerate government adoption of AI. Speakers include: - Vice Admiral Brad Cooper, Deputy Commander, US Central Command - Emelia Probasco, Senior Fellow, CSET - Colonel Drew Cukor, Former Project Maven Chief, United States Department of Defense - Colonel Joe O'Callaghan, AI Fires Officer, 18th Airborne Corps - Aki Jain, CTO, Palantir Technologies - Jason Brown, General Manager, Government at Applied Intuition - The Honorable Christine Fox, Senior Fellow, The Johns Hopkins University Applied Physics Laboratory - Margie Palmieri, Deputy Director, Chief Digital and AI Office - Vice Admiral Frank Whitworth, Director, National Geospatial Agency - The Honorable Bob Work, Former Deputy Secretary of Defense Register now!: https://lnkd.in/gWyyPDA3
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“We have managed to reduce the claims process from seven days to just one.” Getting from AI PoCs and prototypes to generating quantifiable business impact is what sets AI leaders apart from the fray. One great example is Sebastien Conort and BNP Paribas Cardif, who are weaving AI into the fabric of their business to improve customer experience and increase efficiency. And they have the results to show for it. Read the article: https://lnkd.in/gyTbzBGR
Global insurer BNP Paribas Cardif cuts claims processing with AI
diginomica.com