3 Examples: Solving Automation and ML Exceptions with Humans in the Loop

3 Examples: Solving Automation and ML Exceptions with Humans in the Loop

Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.

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From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.

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6 Ways Medical AI is Transforming Healthcare

6 Ways Medical AI is Transforming Healthcare

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

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Should You Outsource Data Labeling for NLP?

Should You Outsource Data Labeling for NLP?

NLP is one of the most difficult AI applications to develop and maintain. When you outsource data labeling, make sure you choose the right team.

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Optimizing Decision Making by Combining Automation and People

Optimizing Decision Making by Combining Automation and People

An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.

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OCR and People: Your Dynamic Data-Entry Duo

OCR and People: Your Dynamic Data-Entry Duo

Optical character recognition (OCR) can improve productivity when transcribing text, but people still play a critical role in quality control.

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3 Signs You Need A Managed Workforce for Data Entry

3 Signs You Need A Managed Workforce for Data Entry

Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.

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3 Ways Finance Benefits from Data Entry Services

3 Ways Finance Benefits from Data Entry Services

Accurate data entry is the foundation of strong financial practices. It helps finance teams maintain complete records and expedite critical transactions.

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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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