Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.
CloudFactory Blog
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.
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.
How can you determine if a data labeling service will deliver quality work? It starts with their vetting, hiring, and training processes.
People have unconscious biases that affect hiring decisions. People also can hard-code their biases into an AI system. Humans in the loop can help.
People are involved in everything from training and testing algorithms to labeling data, conducting quality control, and monitoring automation.
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.
We connected with our new chief delivery officer to learn about what brought him to CloudFactory and what he’s learned since joining the team.
We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.
Autonomous vehicles and AI driver safety tools aren’t affordable for all. Driver Technologies made a free innovative app and model training database.
