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 biggest problem in data science today, according to a Kaggle survey. So how can you get clean, structured data you can trust?

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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 our mission and the interesting work we are doing for technology innovators.

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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 accuracy.

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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 generation compounds an already common problem: “dirty data.”

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3 Kinds of Data that Do More Harm than Good

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.

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Jon Nastor Hacks CloudFactory Founder Mark Sears [Podcast]

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.

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The 3 Forces that Brought AI to Life (And Why it’s Only Now Changing the World)

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.

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Humans in the AI Tech Stack [White Paper]

Artificial intelligence is not new technology but it is just now finally taking off. Why now, and how are businesses using it? What are the challenges to implementation? In our new white paper, Humans in the AI Tech Stack, we explore AI trends, the importance of choosing the right tools, and how to strategically deploy people in your tech-and-human stack.

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Cloud Robotics Expands Machines’ Access to Intelligence

It is amazing how far technology has advanced in the last decade. Internet speeds, computing power, automation, and big data have evolved at an incredible rate. This rapid growth of speed and power has made it possible to create innovative technologies that would have seemed like science fiction just 10 years ago.

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5 Exciting Ways Companies Use Machine Learning

The release of two machine learning (ML) model builders have made it easier for software engineers to create and run ML models, even without specialized training.

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