Strategically Applying People in HITL Machine Learning
How you deploy people throughout the AI lifecycle is an important decision with far-reaching consequences. Poor utilization of people - starting with the model development process - can lead to poor quality data, higher costs, and model failure. Knowing when and where to leverage humans in the loop is key to reducing the number of failed AI projects and the time that is wasted on them.
In this whitepaper, we share:
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