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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Global Partnerships Reflect AI’s Immense Power and Potential Risks

Technology is transforming how we live and work in ways we never thought possible. At the center of those changes is artificial intelligence (AI), which has the potential to fulfill the promises of ...

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Lessons Learned: 3 Essentials for Your NLP Data Workforce

The recent failure of IBM’s Project Debater in its contest against global debate champion Harish Natarajan offers the latest in a series of lessons learned about the deployment of natural language ...

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How CloudFactory Workers Help Train NLP Models

“Hey Siri,” I said. “Call Nancy. Mobile.” Siri replied, “Calling Lindsay. Mobile.” It began to ring. I hadn’t worked with Lindsay in six years. I lunged for my phone and touched the red button just ...

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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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The New AI Factory Model: How to Scale Quality Training Data

A Production Problem (Solved) When Henry Ford attempted to produce the Model T at a rapid pace and with high quality, he ran into a problem. It was difficult to organize teams of specialized workers ...

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