Realizing AI’s potential benefits - and mitigating its challenges - will require collaboration. As partnerships form and critical questions arise across the globe in government, ...
CloudFactory Blog
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 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.
The future of work has shifted in the last decade. Here are a few ways to stay competitive as our world becomes increasingly driven by artificial intelligence.
Automation needs humans to address complex tasks that computers simply aren’t equipped to handle.
We help our customers prepare the datasets for their computer and machine vision algorithms.
Humans are the builders and the trainers of every AI technology, and humans will be the cornerstone of work for a long time to come.
How CloudFactory is different from crowdsourcing platforms like Amazon Mechanical Turk (mTurk) to handle critical business processes that need to be done right.
Data Scientist is the Sexiest Job of the 21st Century...Just Don’t Tell Data Scientists. Data Scientists spend 60% of their time on cleaning up data, while another 19% is ...
Are you dealing with big data and need to focus on your core business? Here are three reasons to consider outsourcing tedious and manual data work.
