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.
The demand for drone autonomy is rapidly increasing. See how CloudFactory defines the levels of drone autonomy.
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.
With almost half of all online search queries now being spoken, natural language processing (NLP) is booming. Learn about 4 top innovators in the space.
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.
Learn 3 key takeaways from our latest LinkedIn Live event where we explored what it takes to combine human and machine intelligence effectively.
From fraud detection to automated loan approvals, AI is transforming the world of fintech with smoother client experiences and reduced financial risk.
Humans are necessary while automating decisions and processes with AI, machine learning, and RPA. Experts discuss the need for humans in the loop (HITL).