Building Your Data Production Line
Watch the webinar to hear from data science and AI workforce experts about how to build your AI production line for high-quality data processing at scale.
Hear from experts in workforce operations (CloudFactory) and annotation tooling (Labelbox) to learn:
- The 3 critical elements to include in your data production line
- How to design your production line to meet quality and turnaround requirements
- Why a managed workforce enables you to off-load your QA operation and contribute to higher quality data
Guy Maskall Panelist
Guy is Lead Data Scientist at CloudFactory, and data science mentor and AI/ML advisor at Springboard where he helps shape their curriculums.
Philip Tester Moderator
Philip is Director of Business Development at CloudFactory, where he creates partnerships to help solve data-production problems for AI innovators.
Brad Sheneman Panelist
Brad leads the Applied Machine Learning team at Arturo, where he oversees the research and rapid development of new deep learning-based statistical models.
Brian Rieger Presenter
Brian is Co-founder and COO at Labelbox where he focuses on solving the tooling and data management challenges facing AI teams today.
Matthew McMullen Presenter
Matthew is Growth Strategist at CloudFactory, where he connects AI development and operations teams with solutions that accelerate and scale the data production process.