3 Ingredients for Scaling Quality Data Labeling for Machine Learning

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 ...

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How to Take the Security Risk Out of Outsourcing Your Data Labeling

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 ...

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The One Thing You Need Before Starting Any AI Project

“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 ...

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5 Strategic Steps for Choosing Your Data Labeling Tool

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 ...

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The 3 Hidden Costs of Crowdsourcing for Data Labeling

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 ...

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The New AI Factory Model, Part I: How to Scale Quality Training Data [Transcript]

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 ...

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Scaling Quality Training Data: Best Practices for Your Data Production Line

“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 ...

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Scaling Quality Training Data: The Hidden Costs of the Crowd

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 ...

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Scaling Quality Training Data: Choosing the People in Your AI Tech Stack

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 ...

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