If you need people to process some portion of the big data that feeds your artificial intelligence, you need a reliable workforce. You’re not alone: more businesses are using in-house staff, contractors, and crowdsourcing to get this kind of work done, and industry analysts expect that trend to increase significantly over the next two years.
In this white paper you will learn:
How to determine what kind of AI data work to outsource
Why anonymous crowdsourcing adds cost to your data operations
Best practices to accelerate and scale high-quality data for AI