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.
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 study
The Past, Present, and Fascinating Future of Data Science
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.
How MLOps Helps Financial Services Reinvent in the Digital Age
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.