Solving the Dirty Data Problem: Clean-Data Practices for Tech Innovators [Ebook]

Data is today’s gold for businesses, representing huge potential value. But there’s a catch: the data must be uncovered, clean, and structured.

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Ibotta Boosts Data Processing Accuracy and Speed During Busiest Retail Season

Our latest client success story shares how Ibotta, a cash-back rewards app, partnered with CloudFactory to improve accuracy and processing time on its important data-verification work. Retail ...

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People in the AI Tech Stack [Infographic]

For all of AI’s promises, we still need people to do a lot of work behind the scenes to make it all possible. People collect, enrich, clean, and prepare data for AI systems to operate accurately and ...

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CloudFactory Named One of ‘10 Best Tech Startups in Durham’

Earlier this month, The Tech Tribune recognized CloudFactory as one of the 10 Best Tech Startups in Durham. The list of tech startups based in Durham, N.C., was the result of research on each ...

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The Workforce Strategy Behind CloudFactory’s 'People Who Care'

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 ...

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Top Tools and Workforce Tips to Scale Your Video Annotation

“[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 ...

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3 Steps to Get Clean, Structured Data You Trust

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 ...

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5 Reasons You Should Work at CloudFactory

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 ...

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Best Practices for Your AI Workforce [SlideShare]

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 ...

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The Leading Causes of Dirty Data

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 ...

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