Moving Toward a Data Production Line
To develop a high-performing machine learning model, you need smart people, tools, and operations that work together to process pipelines of big data with high quality, reducing the need for rework.
We teamed up with our friends at Labelbox – a leading annotation tool provider – to share what we’ve learned about scaling and accelerating data processing for AI applications.
Watch the webinar to hear from experts in technology and people operations who are transforming the way data is processed and structured for machine learning algorithms. A preview of what you’ll learn during this 45-minute webinar:
- Why crowdsourcing costs more than you think
- Ways to simplify processes to accelerate and scale high-quality training data
- How to design your data production line to include the right tools
Philip Tester Moderator
Philip is Director of Business Development at CloudFactory, where he creates partnerships to help solve data-production problems for AI innovators.
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.
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.