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.
An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.
Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.
Data entry is an essential part of the digital transformation process for legal firms seeking to speed discovery and provide better client experiences.
Could the secret to developing ML be more boring than we think? It’s time to give up the quest for the perfect model.
What will 2021 bring to the world of AI and machine learning? CloudFactory CEO and founder Mark Sears shares our predictions.
CloudFactory’s project managers lead teams that deliver client work. Meet one of our leaders in Nairobi, Kenya, and read about a typical day for her.
After schools closed due to COVID19, CloudFactory USA partnered with Durham organizations to accelerate digital equity among school-age children.
How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.