Detection and Prevention of Cyber, Fraud, and Financial Crimes

Domino lets you proactively detect and respond to cyber, fraud, and money laundering schemes by accelerating the end-to-end data science lifecycle and increasing the productivity of data scientists and analysts.

Benefits:

• Quickly access, consolidate and use data from structured and unstructured data sources.
• Rapidly build, deploy, and retrain models to keep pace with emerging threats.
• Automated alerting of degraded model performance.
• Easily embed models into business systems and processes.
• One-click access to powerful machines with the most popular distributed frameworks, including Spark, Ray, and Dask, and GPUs, accelerates training workloads.

With Domino, you and your team 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

Domino lets data scientists and model validators instantly recreate the environment used to build 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.

With Domino, data scientists and analysts can easily collaborate and build upon past work to test new ideas and quickly deploy the successful ones into production. Model velocity and throughput are increased as consistent patterns and practices are codified across teams.

Benefits:

• Collaborate and iterate on results seamlessly with analysts, data scientists, IT, product management, risk, and executives.
• Retain institutional knowledge when key people leave.
• Search prior work on a topic to avoid reinventing the wheel and rapidly compound knowledge.
• Accelerate onboarding of new team members.
• Integrated workflows foster best practices.