Domino’s Enterprise MLOps platform was built specifically to solve the siloed, chaotic, friction-filled approach to data science that is keeping you from achieving your true potential.
Imagine the universal excitement across your organization when:
Data scientists get to focus on what they enjoy - data science
Teams can collaborate easily in a centralized platform to tackle your most important problems
IT can easily set up agile, secure, and governed self-service data science infrastructure
Data science leaders can turbocharge team productivity
Data science aligns with your IT strategy rather than living in the shadows
Data science research can be easily replicated
Machine learning models are deployed in days not months
Data science processes are frictionless
That’s the world our customers, including over 20% of the Fortune 100, live in. They report that Domino has saved them tens of millions of dollars in support costs and unlocked research that has generated hundreds of millions of revenue from unleashing data science across their organization.
"Key milestones on our digital transformation journey were to boost collaboration among teams, and maximize access to the infrastructure and tools needed to deliver data science, machine learning, and AI at scale. The Domino platform is at the core of our modern data science environment which has helped maximize the efficiency, productivity, and output of our data science teams, helping us drive innovation in support of our customers’ mission.”
Director and Chief Data and Analytics Officer for Enterprise Operations at Lockheed Martin
Our customers have proven that it doesn’t matter how many data scientists you have, what data science tools you use, or the type of infrastructure you run on. When you add Domino you can scale data science.
Openness & Flexibility: Domino supports the broadest ecosystem of infrastructure and tools in the market. Data scientists can use their favorite tools without having to worry about how to configure them. No matter where your data lives, you can make it available for projects. IT can consolidate siloed technology stacks onto a single governed data science platform running on-prem or in the cloud while also supporting distributed compute networks such as Spark, Ray, and Dask. No more bespoke laptops! Instead, you have a future-proofed platform with no vendor lock-in.
Enterprise Scale: Scale data science safely and universally with Domino as your system of record for data science, to meet security, governance, and compliance requirements.
Reproducibility & Collaboration: Capture and share collective wisdom from all corners of your business to turbocharge data scientist productivity. With Domino, you capture and track all project artifacts including code, package versions, and parameters to establish full visibility, repeatability, and reproducibility at any time across the end-to-end data science lifecycle. This means you never will lose valuable IP when data scientists change jobs and new team members can become productive faster.
Model Velocity: Accelerate innovation by removing friction from every aspect of the data science lifecycle. End-to-end workflows create common patterns and practices used by everyone regardless of their role or favored data science tool so you can get more models into production, faster.
Drive productivity and accelerate tangible results with your data science teams on the only Enterprise MLOps platform that combines data science management and data science tools and processes across the entire data science lifecycle.
Learn how Domino’s Enterprise MLOps platform accelerates your data science research by providing flexibility, collaboration, and a single platform to unlock compute resources.
Reduce the IT support burden and unleash data science with the only Enterprise MLOps platform that reduces data science project risk and complexity, eliminates silos and technical chaos, and ensures reproducibility, governance, and security.
Build and deploy innovative solutions to predict risk, inform investment strategies, personalize customer experiences, and value assets without sacrificing security, documentation or validation.
Build models for product analytics, customer churn prevention, lead scoring and more while letting Engineering focus on building better product instead of internal tooling.
Accelerate your digital transformation efforts with an easy path to the cloud, while automating research best practices and streamlining documentation for FDA approvals.
Gain deeper insights into quality, predictive maintenance, and supply chain operations, while improving collaboration with non-technical stakeholders and accelerating research.
Accelerate model development for recommendation systems, omni-channel customer personalization, lifetime value analysis, market segmentation, supply chain systems, and more.