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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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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What You Need to Know to Solve Your Data Puzzle

What You Need to Know to Solve Your Data Puzzle

How solving a Rubik’s cube® is like labeling your unstructured data.

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Seizing Your AI Opportunity Requires Quality Data and Partners

Seizing Your AI Opportunity Requires Quality Data and Partners

CloudFactory partner Scientia shares the AI opportunity and the importance of quality data for machine learning.

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When and Why AI Projects Fail (And How to Avoid It)

When and Why AI Projects Fail (And How to Avoid It)

Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.

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3 Ingredients for Scaling Quality Data Labeling for Machine Learning

3 Ingredients for Scaling Quality Data Labeling for Machine Learning

Gartner predicts 85% of AI projects will fail. One of the leading reasons is low-quality data labeling. High-performing machine learning algorithms require high-quality data. ...

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How to Take the Security Risk Out of Outsourcing Your Data Labeling

How to Take the Security Risk Out of Outsourcing Your Data Labeling

When you have massive data to label for machine learning, it makes sense to outsource it. But what happens when your data is sensitive, protected, or private? Here’s a quick ...

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MissingLink Gathers Leaders to Discuss AI to Improve the World

MissingLink Gathers Leaders to Discuss AI to Improve the World

Deep learning platform MissingLink and the MIT Media Lab brought together AI innovators in Boston last month for a meetup about how AI is changing the world for the better.

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The One Thing You Need Before Starting Any AI Project

The One Thing You Need Before Starting Any AI Project

After a decade of data work, we’ve learned AI development requires a winning combination of people, technology, and processes. Don’t overlook one important step before beginning ...

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5 Strategic Steps for Choosing Your Data Labeling Tool

5 Strategic Steps for Choosing Your Data Labeling Tool

Your choices about tooling and workforce will be important factors in your success as you design, test, validate, and deploy any ML model.

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The 3 Hidden Costs of Crowdsourcing for Data Labeling

The 3 Hidden Costs of Crowdsourcing for Data Labeling

Crowdsourcing seems to offer a cheap option for training machine learning models, but it’s rarely as inexpensive as it seems. Here are some of the hidden costs of the crowd.

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AI Challenges And Why Legal Is A Great Place To Kick-Start Great NLP

AI Challenges And Why Legal Is A Great Place To Kick-Start Great NLP

AI makes information easier to find for attorneys and their opponents. That levels the playing field. It fundamentally changes the way work is done in the legal profession, where ...

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CloudFactory Launches New Solutions and Partnerships to Accelerate AI Innovation

CloudFactory Launches New Solutions and Partnerships to Accelerate AI Innovation

Cloud workforce solutions and integrations with leading data labeling platforms support higher quality training data for machine learning.

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