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.
CloudFactory Blog
Understand the role of LiDAR in self-driving cars. Learn how this technology enhances autonomous driving systems and ensures safer roads.
This blog post is about how AI-enabled drones use object detection and collision avoidance computer vision technology for drone delivery at scale.
Explore where ADS and ADAS technologies fit within the levels of driving automation, and learn how they enhance safety and autonomy in modern cars.
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.
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.
These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.
Learn about the levels of drone autonomy and how advancements in AI are transforming drone operations across various industries.
The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.
The nuances of language can be difficult for a machine to understand, hence the need for human input to accelerate testing and ensure quality control.
Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.
3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.
Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.
From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.
