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DevConf.US 2021 is the 5th annual, free, Red Hat sponsored technology conference for community project and professional contributors to Free and Open Source technologies coming to Boston!
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Friday, September 3 • 10:00 - 10:30
Real World Data Science - Ask the Experts Panel

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Q&A session with some of Red Hat’s Machine Learning experts. Hear why AI/ML represent a top emerging workload for Kubernetes across the hybrid cloud and multi-cloud deployments.
We’ll discuss how we contribute to many open source AI/ML projects such as Kubeflow and others. Open Data Hub will be highlighted as a community project to provide a blueprint for building an AI-as-a-Service platform.
Bring your question and learn more about how AI/ML can help to solve problems with the ever-growing complexity of operating machines at scale and how to deliver AI-powered intelligent applications.
Speakers
avatar for Michael Clifford

Michael Clifford

Data Scientist, Red Hat
Michael Clifford is a Data Scientist at Red Hat working in the Office of the CTO on Emerging Technologies, where he works primarily on exploring tools, methodologies and use cases for cloud native data science.
avatar for Sanjay Arora

Sanjay Arora

Data Scientist
Data scientist at Red Hat
avatar for Erik Erlandson

Erik Erlandson

Senior Principal SW Engineer, Red Hat
Erik Erlandson is a Software Engineer at Red Hat’s AI Center of Excellence, where he explores emerging technologies for Machine Learning and Data Science workloads on Kubernetes, and assists customers with migrating their Data Science workloads onto the cloud. Erik is a committer... Read More →
avatar for Don Chesworth

Don Chesworth

Principal Data Scientist, Red Hat
Don Chesworth is an analytics team lead, and a principal data scientist at Red Hat. His current work focuses predicting customer behavior and sentiment using deep learning networks in concert with OpenShift. Don is fascinated with MLOps (MLFlow, TorchServe) and open source GPU acceleration... Read More →

Friday September 3, 2021 10:00 - 10:30 EDT
Virtual
  ML & AI, Ask The Experts

Attendees (27)