Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.
An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.
What will 2021 bring to the world of AI and machine learning? CloudFactory CEO and founder Mark Sears shares our predictions.
How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.
How can you determine if a data labeling service will deliver quality work? It starts with their vetting, hiring, and training processes.
Humans play a critical role throughout the AI lifecycle, from data cleaning and labeling to quality control and automation monitoring.
Developing ML models requires a lot of data and skilled people to work with it. Here’s our HITL approach for machine learning model development.
No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.
Why is artificial intelligence just now taking off? These three forces are fueling AI techniques to build real-life applications.