A new partnership enables companies using Amazon SageMaker to create, train, and deploy machine-learning (ML) models in the cloud can now connect those models to business processes using UiPath’s platform. Data scientists working with machine learning for automation will be able to integrate Amazon SageMaker ML models into automation workflows without code and use UiPath robots to drive workflows and manage end-to-end business processes.
According to the New York City-based intelligent automation technology provider, the partnership will enable data science teams to optimize development, testing, troubleshooting and maintenance of ML models by easily adding automation.
“UiPath’s Amazon SageMaker connector is designed to solve a key pain point by allowing our customers to realize business value from their ML models faster,” said Sai Shankar, a managing director at global business and technology consulting company Slalom. Data science teams can quickly embed ML models into actual business processes and reduce effort and the time to market. Working in cooperation with AWS and UiPath helps us deliver AI and ML enabled business process automations for our customers. Our data science and intelligent automation teams are eager to leverage the connector to help our customers operationalize ML models faster and leverage them at scale.”