Guest post by our partner, Azavea
Data Labeling
Corporate investments in artificial intelligence (AI) are on the rise. In a recent O'Reilly Media survey, 61% of respondents indicated that artificial intelligence (AI) was their company’s most ...
If you’re on an AI project team that has massive data that requires labeling for machine learning or deep learning, you’re in a race to usable data. Outsourcing seems the easiest answer. But what ...
“If you want to go fast, go alone. If you want to go far, go together.” I love this proverb and apply it a lot in my work at CloudFactory. But the truth is that to realize digital transformation from ...
A growing number of businesses are seeking to apply artificial intelligence (AI) to innovate customer experience and launch disruptive products. If your company is among them, you will need to label ...
After more than a decade of data labeling for companies around the globe, we’ve learned that crowdsourcing can get you access to a large number of workers. It also can create burdensome issues that ...
AI training data operations are a lot like the assembly lines of yesterday’s factories. Data is your raw material, and you have to get it through multiple processing and review steps before it’s ...
“Houston, we’ve had a problem.” Astronaut Jack Swigert made the words famous when he communicated to NASA mission control that an explosion had rocked the Apollo 13 capsule that was transporting him ...
NASA estimated that it took 400,000 engineers, scientists, and technicians to send astronauts to the moon on the Apollo missions. The massive workforce was comprised of people from four major ...
Bringing artificial intelligence (AI) to life in the real world is a lot like the 20th-century “space race” for dominance in spaceflight capability. Few can fathom the level of innovation and sheer ...
