NLP is one of the most difficult AI applications to develop and maintain. When you outsource data labeling, make sure you choose the right team.
Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.
Data entry is an essential part of the digital transformation process for legal firms seeking to speed discovery and provide better client experiences.
Developing ML models requires a lot of data and skilled people to work with it. Here’s our HITL approach for machine learning model development.
Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.
Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.