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.
Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.
Continuous improvement methods yield high accuracy, high speed, and high value. Here's how CloudFactory practices CI for clients in the finance industry.
Learn how CloudFactory practices quality control for our clients in the fintech and finserv spaces, and how quality control differs from quality assurance.
Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.
Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.
Outsourcing your fintech data processing work doesn't mean you have to sacrifice quality, i.e., as long as your partner uses sound QA workflow models.
These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.
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.
Automated solutions like OCR can help tackle retail data transcription at scale, but maintaining data quality remains a major challenge.