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The right workforce enables you to optimize your data pipelines and launch safe, reliable AV models. Ask a prospective partner these 10 critical questions.

Retail and grocery stores struggle with long checkout lines and staff shortages. Computer vision and autonomous checkout solutions can help.

Celebrate Artificial Intelligence Appreciation Day by learning about AI innovators in the geospatial, retail, medical, and autonomous vehicle spaces.

Packing robots are helping retailers overcome the challenges of constantly increasing demand & staff shortages, but bringing them to life is no easy task.

Warehouse picking & sorting is a great place to start your retail automation. First, robotic arms have to correctly identify items using high-quality data.

Busy physicians shouldn't do tedious data labeling work for medical AI projects. Save time and money by outsourcing data annotation to CloudFactory.

Perception and data processing assists drones in automated navigation, digital twin creation, post-processing data, and real-time data processing.

Here are four reasons that doctors shouldn't waste time on tedious data labeling and a solution to accelerate medical AI data training data pipelines.

Agriculture is ripe for autonomous technology powered by computer vision. Learn how automation and robotics are impacting farming operations.

Computer vision models for autonomous checkout require a lot of high-quality labeled training data. Learn how to scale and accelerate data annotation.

Computer vision solutions like autonomous checkout require a lot of training data. Ensure your labeling workforce delivers high-quality retail AI data.

Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.

Geospatial data is fueling innovation in many sectors. Read on if your business needs to scale its data labeling operations while maintaining quality.

Recap of our chat with V7 about medical AI data annotation while creating a dataset of COVID-19 X-rays for clinical use and diagnostic AI development.

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

Apple just introduced its newest iPhone models, which feature a LiDAR scanner. Here’s how innovators use LiDAR to train machines to interpret the visual world.