Outsourcing

How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.

We are proud to announce that CloudFactory has been awarded the ISO 9001:2015 standard in Quality Management System.

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.

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.

When you have massive data to label for machine learning, it makes sense to outsource it. But what happens when your data is sensitive, protected, or private? Here’s a quick ...

Realizing AI’s potential benefits - and mitigating its challenges - will require collaboration. As partnerships form and critical questions arise across the globe in government, ...

Given the challenges of hiring and managing a team to complete the arduous data work behind AI, many companies are turning to outside help.

AI innovators rely on external teams to structure data for ML algorithms. But scaling quality data requires the right people & processes in your tech stack.

Our latest infographic takes a closer look at the critical role people play in preparing data for some of the most innovative tech in development today.

Our workforce strategy makes it possible for innovators to transform massive pipelines of data to power routine business processes, train machine learning algorithms, and create ...

In 6 years, CloudFactory has expanded to 4 continents and received $13.6M in funding. Here’s more about our story.

Billy Beane used startup thinking to outsmart the N.Y. Yankees. Here's how CloudFactory outsmarted outsourcing.

Thousands of people who work in small, managed teams, are connected by technology, and can complete tasks on virtually any platform.

As technology and the human aspect of work evolve, outsourcing will continue to play a role in the organization of the future.