Deep learning platform MissingLink and the MIT Media Lab brought together AI innovators in Boston last month for a meetup about how AI is changing the world for the better.
CloudFactory Blog
After a decade of data work, we’ve learned AI development requires a winning combination of people, technology, and processes. Don’t overlook one important step before beginning ...
Crowdsourcing seems to offer a cheap option for training machine learning models, but it’s rarely as inexpensive as it seems. Here are some of the hidden costs of the crowd.
Your training data operations are like assembly lines: data is your raw material, and you have to get it through production steps to structure it for AI. You need skilled people ...
Anonymous crowdsourcing is a common alternative to an in-house team for AI development. It can be a cheap option for training machine learning algorithms but it’s rarely as ...
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.
Even before the Facebook–Cambridge Analytica story broke, the World Economic Forum proposed the need for a new era of data responsibility. Here’s how we can contribute to a world ...
CloudFactory CRO Mike Riegel spoke about machine learning innovation as a panelist for Google I/O Extended, part of a three-day global conference for developers.
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 ...
Our latest SlideShare provides details on your workforce options and shares best practices for choosing your AI workforce.
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.
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.