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Friday, November 16 • 5:10pm - 6:00pm
Panel II: Data Engineering and AI

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AI and Machine Learning is more and more an integral component of data pipelines, with model deployment emerging as a new area of devops/engineering/analytics.  The tooling for AI development in production is just emerging, and there are exciting startups and established companies leading the way.  This panel will cover the field.

Moderators
avatar for Lukas Biewald

Lukas Biewald

Founder, Weights and Biases

Speakers
avatar for Michelle Casbon

Michelle Casbon

Michelle Casbon is a Senior Engineer on the Google Cloud Platform Developer Relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Prior to joining Google, she was at several San Francisco-based startups as... Read More →
avatar for Chris Fregly

Chris Fregly

Founder, Pipeline AI
Chris Fregly is Founder at PipelineAI, a Real-Time Machine Learning and Artificial Intelligence Startup based in San Francisco.He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly... Read More →
avatar for Stepan Pushkarev

Stepan Pushkarev

CTO, Hydrosphere.io
hydrosphere.io CTOAutomation of AI/ML Operations: deployment, serving, monitoring, subsampling, retraining.
avatar for Pete Skomoroch

Pete Skomoroch

Head of Data Products, Workday
Peter is Co-Founder and CEO of SkipFlag, which was acquired by Workday in 2018. Skipflag's technology uses your existing conversations, support tickets, and other communication to automatically build and update an enterprise knowledge base. It understands the people, topics, and facts... Read More →
avatar for Richard Socher

Richard Socher

Chief Scientist, Salesforce


Friday November 16, 2018 5:10pm - 6:00pm
functional

Attendees (57)