Create new insights, products, and services
Data is the heart of financial services and it holds the potential to identify and create new products and services. The key is having a data science team that can quickly and effectively collaborate to innovate and experiment, then quickly productize promising data, models, and processes.
Domino’s Enterprise MLOps platform makes it easy for the world’s largest financial services institutions to gain deeper insights and quickly monetize data, models, and processes to create:
- New digital products
- New marketplaces
- New customer segments
- Cross/upsell improvements
- Model and data marketplace
Why Domino for monetization and productization of data, insights, and models
The Domino Enterprise MLOps platform fosters collaboration and innovation within data science teams, making it easy to gain deeper insights and quickly monetize data, models, and processes.
High-impact models and analysis-+
Innovate and expand across every line of business to improve competitiveness
Domino helps you increase the volume and effectiveness of the models and analysis supporting every line of business to get to market with new products, services, and offers.
Benefit
- Data scientists and analysts easily collaborate to develop a high volume of high-quality models.
- Innovate with the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
- Attract and retain talent, and upskill teams more effectively with an environment as familiar as their local laptop.
- One-click access to powerful machines with the most popular distributed frameworks, including Spark, Ray, and Dask, and GPUs, accelerates training workloads.
Streamlined access to data-+
Easy access to data, without compromising security and governance
With Domino, you can easily work with and share data while complying with IT protocols, data security, and governance policies.
Benefits:
- Centrally establish connections to data wherever it lives.
- Share data across teams without making copies.
- Provide data context and metadata in a unified manner within and across departments or LOBs.
- Maintain strict governance and control over sensitive data.
- Effectively manage data with integrated version control.
- Integrate with established company SSO and LDAP solutions.
Reproducible analysis and models-+
Easily reproduce and validate work, improving productivity
Domino lets data scientists and model validators instantly recreate the environment used to create a model or analysis.
Benefits:
- Easily validate model results prior to deployment.
- Reproduce any model with just a few clicks, regardless of the language used to create it.
- Improve data scientist and analyst productivity by automating the capture of all model assets.
Increased model velocity-+
Streamline and standardize data science processes
With Domino, data scientists can develop, deploy, monitor, and manage models – all from a single platform. Models get into production faster with consistent deployment patterns and practices to rapidly respond to business needs, increase impact, and mitigate risks.
Benefits:
- Get models into production faster with consistent model deployment best practices and processes.
- Monitor models for data drift, quality, and other critical health statistics.
- Iterate quickly (and often) to maintain high-performing production models to mitigate risks and losses.
- Integrate with Git and Jira to include data science into broader enterprise project processes.
Innovate and expand across every line of business to improve competitiveness
Domino helps you increase the volume and effectiveness of the models and analysis supporting every line of business to get to market with new products, services, and offers.
Benefit
- Data scientists and analysts easily collaborate to develop a high volume of high-quality models.
- Innovate with the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
- Attract and retain talent, and upskill teams more effectively with an environment as familiar as their local laptop.
- One-click access to powerful machines with the most popular distributed frameworks, including Spark, Ray, and Dask, and GPUs, accelerates training workloads.
Easy access to data, without compromising security and governance
With Domino, you can easily work with and share data while complying with IT protocols, data security, and governance policies.
Benefits:
- Centrally establish connections to data wherever it lives.
- Share data across teams without making copies.
- Provide data context and metadata in a unified manner within and across departments or LOBs.
- Maintain strict governance and control over sensitive data.
- Effectively manage data with integrated version control.
- Integrate with established company SSO and LDAP solutions.
Easily reproduce and validate work, improving productivity
Domino lets data scientists and model validators instantly recreate the environment used to create a model or analysis.
Benefits:
- Easily validate model results prior to deployment.
- Reproduce any model with just a few clicks, regardless of the language used to create it.
- Improve data scientist and analyst productivity by automating the capture of all model assets.
Streamline and standardize data science processes
With Domino, data scientists can develop, deploy, monitor, and manage models – all from a single platform. Models get into production faster with consistent deployment patterns and practices to rapidly respond to business needs, increase impact, and mitigate risks.
Benefits:
- Get models into production faster with consistent model deployment best practices and processes.
- Monitor models for data drift, quality, and other critical health statistics.
- Iterate quickly (and often) to maintain high-performing production models to mitigate risks and losses.
- Integrate with Git and Jira to include data science into broader enterprise project processes.




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Driving Customer Value and Efficiency by Transforming Model Development and Deployment
Learn how a 6X reduction in the time to move models into production enables Moody’s Analytics to get information into the hands of clients faster.
Read the case studyRecommended resources
"Without Domino, getting a model into production was quite an involved process; let’s say that took us maybe four weeks after talking to everyone. Now it’s down to maybe a one-week process."
Principal Consultant, Large Financial Service Organization
In this episode, Dave Cole is joined by Mike Tamir, Chief ML Scientist and Head of Machine Learning/AI at SIG, to break down the shifting trends in data science, NLP, and ML—and what it all means for leaders in the field.
The new digital age is providing traditional banks with unprecedented opportunities. At the same time, the rules of the financial markets are changing so rapidly that banks need to adapt quickly to remain relevant in the future.
Learn how MLOps platforms like Domino can help banks to reinvent how they engage with their customers, create an AI-based decision-making culture, modernize their application infrastructure and establish a more agile operating model.