Description

Data Scientists know the challenges of scale, reproducibility, dealing with on-premise and cloud data silos, plus inconsistent deployments across environments. In this talk, Noelle Silver, AI/ML Executive at IBM Consulting, shows us how open source has played a key role in solving these issues for agile software development, especially with DevSecOps. So, how we can now start applying these learnings to principled "Machine Learning Operational Excellence" practices at scale? If you are interested in learning exactly what "MLOps" entails and how to scale a data pipeline built on Open Source and responsible AI practices to reduce compute latency, and facilitate CI/CD for time-sensitive imaging and diagnostics...this is the talk for you!

Date/Time

On

June 1, 2022

At

1:00 pm

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