3 Common Mistakes Automation and ML Modelers Make

3 Common Mistakes Automation and ML Modelers Make

Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.

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Data Entry Services Fuel Transformation in Legal Industry

Data Entry Services Fuel Transformation in Legal Industry

Data entry is an essential part of the digital transformation process for legal firms seeking to speed discovery and provide better client experiences.

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4 Reasons You Should Outsource Data Entry

4 Reasons You Should Outsource Data Entry

Data entry is a crucial part of any digital transformation project. Sometimes it makes more sense to outsource than to burden your own team.

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Maximizing ROI for ML, Decision Management, and RPA

Maximizing ROI for ML, Decision Management, and RPA

Could the secret to developing ML be more boring than we think? It’s time to give up the quest for the perfect model.

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6 AI Predictions for 2021: A View From the Trenches

6 AI Predictions for 2021: A View From the Trenches

What will 2021 bring to the world of AI and machine learning? CloudFactory CEO and founder Mark Sears shares our predictions.

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A Day in the Life: Mercy Mandela, Delivery Team Lead

A Day in the Life: Mercy Mandela, Delivery Team Lead

CloudFactory’s project managers lead teams that deliver client work. Meet one of our leaders in Nairobi, Kenya, and read about a typical day for her.

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CloudFactory in Action: Supporting Digital Equity in Durham

CloudFactory in Action: Supporting Digital Equity in Durham

After schools closed due to COVID19, CloudFactory USA partnered with Durham organizations to accelerate digital equity among school-age children.

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Choosing a Data Labeling Service Part 2: Communication & Quality Control

Choosing a Data Labeling Service Part 2: Communication & Quality Control

How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.

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Choosing a Data Labeling Service Part 1: Hiring and Vetting

Choosing a Data Labeling Service Part 1: Hiring and Vetting

How can you determine if a data labeling service will deliver quality work? It starts with their vetting, hiring, and training processes.

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What Can We Learn From HR About AI Bias?

What Can We Learn From HR About AI Bias?

People have unconscious biases that affect hiring decisions. People also can hard-code their biases into an AI system. Humans in the loop can help.

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Will AI Replace the Humans In the Loop?

Will AI Replace the Humans In the Loop?

People are involved in everything from training and testing algorithms to labeling data, conducting quality control, and monitoring automation.

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3 Ways Humans in the Loop Add Value to the AI Lifecycle

3 Ways Humans in the Loop Add Value to the AI Lifecycle

Humans play a critical role throughout the AI lifecycle, from data cleaning and labeling to quality control and automation monitoring.

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Accelerating ML Model Development with Human in the Loop

Accelerating ML Model Development with Human in the Loop

Developing ML models requires a lot of data and skilled people to work with it. Here’s our HITL approach for machine learning model development.

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Leadership Q&A with Lisbi Abraham

Leadership Q&A with Lisbi Abraham

We connected with our new chief delivery officer to learn about what brought him to CloudFactory and what he’s learned since joining the team.

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CloudFactory Launches New CV Offering: Data Annotation Solution

CloudFactory Launches New CV Offering: Data Annotation Solution

We are excited to announce a new offering that bundles our professionally managed workforce with a market-leading annotation platform for one price.

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Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Driven by AI: Driver Technologies Helps Protect the World’s Motorists

Autonomous vehicles and AI driver safety tools aren’t affordable for all. Driver Technologies made a free innovative app and model training database.

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