The New AI Factory Model: How to Scale Quality Training Data
The New AI Factory Model: How to Scale Quality Training Data


AI training data operations are a lot like the assembly lines of yesterday’s industrial factories. Data is your raw material, and it you have to get it through multiple processing and review steps before it’s ready for machine learning. If you want to develop a high-performing machine learning model, you need smart people, tools, and operations that reduce the need for rework. To accelerate and scale high-quality training data, you’ll need the right workforce.

In this ODSC session, hear from data-workforce experts and learn:
- What your data production line could look like;
- 3 critical elements for your data production line;
- How to strategically design your workforce-and-tool combination for high quality training data.


Matthew McMullen is Growth Strategist at CloudFactory, where he where he connects AI development and operations teams with solutions that accelerate and scale the data production process. He is an advisor and mentor to tech startups in North Carolina’s Triangle region and to students in entrepreneurial tracks at Duke University.

Open Data Science




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