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Using Scale Nucleus and Rapid to Label New Datasets Efficiently

Posted Oct 08
# Scale Rapid
# Tech Talk
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SPEAKERS
Barrett Williams
Barrett Williams
Barrett Williams
Senior Technical Marketing Manager, Scale AI

Barrett Williams is passionate about robotics and operationalizing ML. He’s a Senior Technical Marketing Manager focused on Scale Nucleus and Document AI. Prior to Scale, he worked at SigOpt (acquired by Intel) on MLOps products, and at Google launching big data and AI Cloud services.

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Barrett Williams is passionate about robotics and operationalizing ML. He’s a Senior Technical Marketing Manager focused on Scale Nucleus and Document AI. Prior to Scale, he worked at SigOpt (acquired by Intel) on MLOps products, and at Google launching big data and AI Cloud services.

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Russell Kaplan
Russell Kaplan
Russell Kaplan
Head of Nucleus @ Scale AI

Russell Kaplan leads Scale Nucleus, the data management platform for machine learning teams. He was previously founder and CEO of Helia AI, a computer vision startup for real-time video understanding, which Scale acquired in 2020. Before that, Russell was a senior machine learning scientist on Tesla's Autopilot team, and he received his M.S. and B.S. from Stanford University, where he was a researcher in the Stanford Vision Lab advised by Fei-Fei Li.

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Russell Kaplan leads Scale Nucleus, the data management platform for machine learning teams. He was previously founder and CEO of Helia AI, a computer vision startup for real-time video understanding, which Scale acquired in 2020. Before that, Russell was a senior machine learning scientist on Tesla's Autopilot team, and he received his M.S. and B.S. from Stanford University, where he was a researcher in the Stanford Vision Lab advised by Fei-Fei Li.

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Zhichun Li
Zhichun Li
Zhichun Li
Head of Scale Rapid @ Scale AI

Zhichun Li is the Head of Scale Rapid at Scale AI. She built the team from scratch with a focus on providing the fastest way to production-level quality labels within a day, with no data minimums. As an early employee of the company, she built up the infrastructure for our supply ops system and scaled up our 3D Sensor Fusion product. Prior to Scale AI, Zhichun studied CS at CMU and earned her MBA from Yale SOM.

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Zhichun Li is the Head of Scale Rapid at Scale AI. She built the team from scratch with a focus on providing the fastest way to production-level quality labels within a day, with no data minimums. As an early employee of the company, she built up the infrastructure for our supply ops system and scaled up our 3D Sensor Fusion product. Prior to Scale AI, Zhichun studied CS at CMU and earned her MBA from Yale SOM.

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SUMMARY

Scale Nucleus and Scale Rapid work hand in hand to enable easy and efficient access to quality training data through quality labels, and precisely directed labeling spend through dataset management. Barrett will use an industrial IoT example to explain how you can easily and cost-effectively label your first training dataset with Rapid, and then iteratively and strategically improve it with Nucleus.

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