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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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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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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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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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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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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Global Partnerships Reflect AI’s Immense Power and Potential Risks

Global Partnerships Reflect AI’s Immense Power and Potential Risks

Realizing AI’s potential benefits - and mitigating its challenges - will require collaboration. As partnerships form and critical questions arise across the globe in government, ...

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Scaling Quality Training Data: The Hidden Costs of the Crowd

Scaling Quality Training Data: The Hidden Costs of the Crowd

Anonymous crowdsourcing is a common alternative to an in-house team for AI development. It can be a cheap option for training machine learning algorithms but it’s rarely as ...

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3 Steps Toward Data Responsibility in the Digital Age

3 Steps Toward Data Responsibility in the Digital Age

Even before the Facebook–Cambridge Analytica story broke, the World Economic Forum proposed the need for a new era of data responsibility. Here’s how we can contribute to a world ...

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Outsourcing Outsmarted: How CloudFactory is Changing an Outdated Industry

Outsourcing Outsmarted: How CloudFactory is Changing an Outdated Industry

Billy Beane used startup thinking to outsmart the N.Y. Yankees. Here's how CloudFactory outsmarted outsourcing.

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7 Ways CloudFactory is Different Than Crowdsourcing

7 Ways CloudFactory is Different Than Crowdsourcing

How CloudFactory is different from crowdsourcing platforms like Amazon Mechanical Turk (mTurk) to handle critical business processes that need to be done right.

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Startups Now Have Scalable Way to Automate & Outsource Work

Startups Now Have Scalable Way to Automate & Outsource Work

CloudFactory is making it super easy for startups and fast-growing businesses to automate and outsource routine, back-office work.

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