Five Great Books about AI and Machine Learning

Five Great Books about AI and Machine Learning

Whether you’re a seasoned pro or new to artificial intelligence, continued learning important. Here are a few of our favorite machine learning & AI books.

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Partnering to Achieve an Adaptive Workforce

Partnering to Achieve an Adaptive Workforce

Some organizations are winning in a pandemic by adapting to changing customer and market demands. We’ve provided adaptive workforces for a decade. Here’s what they look like.

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4 Essentials for the Data Labeling Pipeline

4 Essentials for the Data Labeling Pipeline

Supervised learning requires a lot of labeled data. Here’s what it takes to design a high-performance data labeling pipeline for machine learning.

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Boiling the Ocean: Processing the Data that Powers AI

Boiling the Ocean: Processing the Data that Powers AI

Even in uncertain times, you’re swimming in an ocean of data. If you’re using AI, how you process and use that data will determine the future of your business.

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Crowdsourced Workers vs. Managed Workers [Infographic]

Crowdsourced Workers vs. Managed Workers [Infographic]

Data scientists at Hivemind created 3 data labeling tasks and hired 2 teams to complete them. The differences in data accuracy, speed, and cost may surprise you.

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5 Qualities in Good Data Labeling Vendors [Infographic]

5 Qualities in Good Data Labeling Vendors [Infographic]

Not all outsourced data labeling partners are a good fit for every AI project. Here are 5 things you need to consider before, during, and after vendor evaluations.

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Top Benefits and Limitations of Auto Labeling

Top Benefits and Limitations of Auto Labeling

The data annotation. One emerging feature is automation, also known as pre-annotation or auto labeling. This article will focus on some of its benefits and drawbacks.

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Data Security in the Age of Remote Workforces

Data Security in the Age of Remote Workforces

Many companies are having to contend with new data security concerns associated with their employees accessing important data from home.

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Five Questions to Ask Your Workforce Vendor in the Age of COVID-19

Five Questions to Ask Your Workforce Vendor in the Age of COVID-19

It is not enough for workforce vendors to tout a history of quality and speed. They must prove they can serve your needs during and after COVID-19.

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CloudFactory’s Response to COVID-19: 100% Remote Work

CloudFactory’s Response to COVID-19: 100% Remote Work

CloudFactory responds to the COVID-19 pandemic with remote access for workers, business continuity for clients, and community service.

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In-House vs. Managed Workforce Data Labeling Partner [Infographic]

In-House vs. Managed Workforce Data Labeling Partner [Infographic]

It takes a lot of time and resources to prepare and label data. Learn why outsourcing the data preparation to a managed workforce partner is a good business decision.

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6 Ways Data Labeling Providers Put Your Data Quality At Risk [Infographic]

6 Ways Data Labeling Providers Put Your Data Quality At Risk [Infographic]

The level of data quality you'll receive from data labeling providers depends on several workforce, QA and tooling factors. Here are 6 ways some data labeling providers put your ...

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3 Signs Data Labeling Provider Delivers Quality Data [Infographic]

3 Signs Data Labeling Provider Delivers Quality Data [Infographic]

The people, processes, and tools used by outsourced data labeling partners make a big difference in final data quality. Here are 3 signs that you'll receive quality work from your ...

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High-Quality Data — Challenge Accepted

High-Quality Data — Challenge Accepted

Data quality is clearly paramount for a successful AI project, but how difficult is it to achieve?

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Seeing the Big Picture with Your AI Data

Seeing the Big Picture with Your AI Data

Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.

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How to Solve the Specialization Challenge

How to Solve the Specialization Challenge

Any problem (like a Rubik’s cube®) is solvable with a documented process.

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