Explore the benefits of data, how businesses are using it, and three kinds of data challenges that companies frequently run into.
CloudFactory Blog
Popular podcast “Hack the Entrepreneur” featured CloudFactory founder and CEO Mark Sears, who talks about building a global managed cloud labor marketplace from scratch.
Why is artificial intelligence just now taking off? These three forces are fueling AI techniques to build real-life applications.
Some believe cloud robotics will be the future of AI and the next big disruptor in business.
The combination of big data and machine learning can unlock the value of data you already have to gain a competitive edge for your business.
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.
Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.
As technology and the human aspect of work evolve, outsourcing will continue to play a role in the organization of the future.
CloudFactory’s U.S. team took a trip to the country for team building and some fun.
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.
We called it Kindness Week. Here are a few of the random acts of kindness CloudFactory employees and others did to make the week memorable.
As more companies adopt AI techniques to improve products, service and profitability, we’re starting to see new job titles emerge for workers across the tech industry.
Some of sharpest minds on the forefront of science, economics and innovation are offering thoughtful consideration of AI and its implications on work and life.
Machines see the world through bounding boxes in order to make visual data meaningful, and that work can only be done by humans.