Performing data science on legacy systems can create a single point of failure. Migrating to the cloud enables internal and external teams to work together, increases model security and governance, enables new use cases, and deepens your hiring pool!
Co-creation session to identify early workloads for modernization
Deployment of required cloud infrastructure needed to facilitate modernization
Execute discovery work to understand context and user experience
Modernize and deploy the first workload to a modern data science platform
Executive brief outlining vision and modernization roadmap
First model deployed to full production environment
Coaching services to help upskill
Roadmap and ongoing support for new workloads & production environment
