Accelerating Data Science to Production with MLOps Best Practices

Our project is managed in Jira, including testing with Xray (e.g. using Jira & Xray for single-source of truth of testing results) and our source code (including for automated tests) and CI/CD is managed in GitLab. In this scenario, we want to trigger automation in GitLab from the Xray side and report the results back to Xray and Jira.

Forget about making key business decisions using historical data. With Active Intelligence businesses can now seize every business moment.

Before Appian was a company, it was an idea. Not about a product or a market, but about the culture needed to sustain innovation and value. Our new brand represents our focus on simplicity. The Appian Low-code Automation Platform simplifies the automation of our customers’ most complex and most important business processes.

Bio pharmaceutical company Grifols is a global leader in producing plasma-derived medicines and transfusion medicine. The COVID-19 pandemic heightened the importance of their work and they needed a flexible, paperless, and unified technical solution in place. See why they chose Appian for their control management system, and how they've reduced processing times in order to serve patients better.

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Learn more about the joint AWS & Iguazio solution: https://www.iguazio.com/partners/aws/

Start working with MLRun, the open-source MLOps orchestration framework: https://github.com/mlrun/mlrun