From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.
CloudFactory Blog
Learn 3 key takeaways from our latest LinkedIn Live event where we explored what it takes to combine human and machine intelligence effectively.
The rise of medical AI solutions shows great promise, but there are still important hurdles to overcome, such as concerns about privacy and data accuracy.
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).
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.
From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.
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.
An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.
Optical character recognition (OCR) can improve productivity when transcribing text, but people still play a critical role in quality control.
Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.
Accurate data entry is the foundation of strong financial practices. It helps finance teams maintain complete records and expedite critical transactions.
Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.
Data entry is an essential part of the digital transformation process for legal firms seeking to speed discovery and provide better client experiences.
Data entry is a crucial part of any digital transformation project. Sometimes it makes more sense to outsource than to burden your own team.
