CloudFactory

Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Geospatial data is fueling innovation in many sectors. Read on if your business needs to scale its data labeling operations while maintaining quality.

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Medical AI Security and Data Privacy in the Age of Computer Vision

Medical AI Security and Data Privacy in the Age of Computer Vision

Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.

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Continuous Improvement for Fintech and Finserv Data Processing: Striving for Higher Quality, Speed, and Value

Continuous Improvement for Fintech and Finserv Data Processing: Striving for Higher Quality, Speed, and Value

Continuous improvement methods yield high accuracy, high speed, and high value. Here's how CloudFactory practices CI for clients in the finance industry.

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Quality Control for Fintech and Finserv Data Processing: Sustaining High Accuracy

Quality Control for Fintech and Finserv Data Processing: Sustaining High Accuracy

Learn how CloudFactory practices quality control for our clients in the fintech and finserv spaces, and how quality control differs from quality assurance.

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Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.

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5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.

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3 QA Workflow Models for High-Quality Fintech Data Processing

3 QA Workflow Models for High-Quality Fintech Data Processing

Outsourcing your fintech data processing work doesn't mean you have to sacrifice quality, i.e., as long as your partner uses sound QA workflow models.

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4 Use Cases on Why Using Drones to Collect Data Improves Inspections

4 Use Cases on Why Using Drones to Collect Data Improves Inspections

These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.

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Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

Q&A with V7: COVID-19 AI Data Annotation for Clinical & Diagnostic Imaging

Recap of our chat with V7 about medical AI data annotation while creating a dataset of COVID-19 X-rays for clinical use and diagnostic AI development.

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Breaking Down The Levels of Drone Autonomy

Breaking Down The Levels of Drone Autonomy

The demand for drone autonomy is rapidly increasing. See how CloudFactory defines the levels of drone autonomy.

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Meet Our New Teammates: October 2021

Meet Our New Teammates: October 2021

Just like bamboo, we continue to grow; we are very excited to add 14 more people to our team that connects one million talented people to meaningful work.

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Our Drone Team Reflects on Drone Day

Our Drone Team Reflects on Drone Day

Drone autonomy fueled with high-quality data will be the key to scaling drone operations. Read more valuable insights from the drone team at CloudFactory.

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The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

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How Retailers Can Overcome Issues with Optical Character Recognition (OCR)

How Retailers Can Overcome Issues with Optical Character Recognition (OCR)

Automated solutions like OCR can help tackle retail data transcription at scale, but maintaining data quality remains a major challenge.

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How Retailers Can Keep Up with Post-Pandemic Data Demands

How Retailers Can Keep Up with Post-Pandemic Data Demands

Retail data transcription is time-consuming and tedious work, not to mention notoriously hard to scale. Here’s how retailers can overcome those challenges.

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Does Not Compute: The NLP Context Conundrum

Does Not Compute: The NLP Context Conundrum

The nuances of language can be difficult for a machine to understand, hence the need for human input to accelerate testing and ensure quality control.

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