We have a big mission at CloudFactory: to create meaningful work for people who don’t have access to economic opportunities. There are many other organizations that share our passion for assisting people with few resources, and some of them are right in the Durham, N.C. area. We wanted to give back to the community that is home to CloudFactory’s U.S. office, so we’ve partnered with a handful of these local organizations to lend a hand.
One of our clients said it best: “CloudFactory has people who care.” It’s true: our teams are known for high quality work, and they love the role they play in working with the world’s most innovative technology companies. Since 2008, we have helped hundreds of companies grow their businesses by providing a highly scalable, managed workforce to be an extension of their teams.
“[Video] data annotation is super labor-intensive. Each hour of data collected takes almost 800 human hours to annotate. How are you going to scale that?”
-Sameep Tandon, CEO of Drive.ai, an autonomous car startup in Silicon Valley and CloudFactory client
It’s their least favorite part of the job, yet it consumes most of their time. Data wrangling – or gathering and preparing dirty data so it can be used in critical business applications – is the biggest problem in data science today, according to a Kaggle survey. So how can you get clean, structured data you can trust?
So I might be CloudFactory’s biggest fan, aside from our Founder and CEO Mark Sears, of course. And I love my job as global talent acquisition manager because I get to talk to people every day about our mission and the interesting work we are doing for technology innovators.
For all of artificial intelligence’s promises, we still need humans in the loop to make it all possible. Humans collect, enrich, clean, and prepare data for AI systems to operate with optimal accuracy.
The world is producing data at exponential rates. By 2025, the global datasphere will include 10 times the amount of data generated last year alone, according to IDC’s Data Age 2025. All of this data generation compounds an already common problem: “dirty data.”
Data is today’s gold, representing huge potential value for businesses. By analyzing lots of data, you can discover patterns that can help you introduce efficiency, make smarter decisions, innovate products, and reduce operational liabilities like cost and risk. By using hidden data, you can transform your business or disrupt an industry by using available data to solve a painful problem.
This week’s episode of the popular podcast “Hack the Entrepreneur” featured CloudFactory founder and CEO Mark Sears, who shares something an executive told him early in his career that he never forgot.
We think of AI as brand-new technology, but is it? If you dig into its history, you’ll find that artificial intelligence has existed for more than 60 years. In fact, the term artificial intelligence was coined in 1956 by computer scientist and professor of mathematics John McCarthy at Dartmouth College.