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.
In a data-heavy sector like finance, scaling routine operations like document transcription can be difficult, but outsourcing can help in a variety of ways
Fintech firms are understandably wary of outsourcing data processing, but security measures exist to mitigate risk and maximize workflow efficiency.
In our latest event, we talked with smart cities expert Jonathan Reichental about the future of urban development. Here are some key insights from our chat
3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.
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.
Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.
From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.