NLP enables better healthcare, from documentation to clinical decision support, speech recognition for electronic health records, and other applications.
CloudFactory Blog
Read CloudFactory's insights from ODSC East in Boston, focusing on key trends in generative AI, ethical AI, and HITL (human-in-the-loop) approaches.
Learn about seven key business areas in which automotive companies can benefit from CloudFactory expertise in Vision AI, NLP, and document processing.
Natural language processing (NLP) is a fast-growing AI technology, but data labeling for NLP is complex. Here is what to look for in an NLP data workforce.
Companies in the insurance industry are tapping the power of quality data to transform underwriting, give time back to underwriters, & grow the business.
Enjoy highlights from our interview with Datasaur founder Ivan Lee including their audio, text, and NLP annotation features and globalization efforts.
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.
From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.
NLP is one of the most difficult AI applications to develop and maintain. When you outsource data labeling, make sure you choose the right team.
Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.
As more companies adopt AI techniques to improve products, service and profitability, we’re starting to see new job titles emerge for workers across the tech industry.
