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.
We are proud to announce that CloudFactory has been awarded the ISO 9001:2015 standard in Quality Management System.
CloudFactory and V7 Labs annotated chest x-rays and trained ML models to identify issues including COVID-19. The dataset is now available for research.
Some data annotation tools won't be a good fit for your AI and machine learning project. Keep these six important features in mind as you evaluate tool providers.
Even in uncertain times, you’re swimming in an ocean of data. If you’re using AI, how you process and use that data will determine the future of your business.
Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.
Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation.
Not all outsourced data labeling partners are a good fit for every AI project. Here are 5 things you need to consider before, during, and after vendor evaluations.
CloudFactory responds to the COVID-19 pandemic with remote access for workers, business continuity for clients, and community service.
No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.