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.

Optical character recognition (OCR) can improve productivity when transcribing text, but people still play a critical role in quality control.

Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.

Accurate data entry is the foundation of strong financial practices. It helps finance teams maintain complete records and expedite critical transactions.

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.

Training a car to drive itself is a heavy lift. Here’s how the process of Visual Data Collection for Autonomous Cars works and how it's used by people.

Can AI help us in predicting the future with computer vision? Here's how computer vision can use today’s data to model tomorrow’s outcomes.

CloudFactory is a great place to be because our teams work on some of the world’s most innovative technologies and because we’re on a mission: to create work for one million ...

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.

Natural language processing (NLP) is among the fastest growing AI technologies and one of the most difficult to develop. In this article, we'll share lessons learned over 10 years ...

Natural language processing (NLP) is among the fastest growing AI technologies today. It’s also one of the most difficult to develop. This is the first in a two-article series ...

The combination of big data and machine learning can unlock the value of data you already have to gain a competitive edge for your business.

Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.

As technology and the human aspect of work evolve, outsourcing will continue to play a role in the organization of the future.

The future of work has shifted in the last decade. Here are a few ways to stay competitive as our world becomes increasingly driven by artificial intelligence.