In-Store Autonomous Checkout:  Moving at the Speed of Consumer Expectations

In-Store Autonomous Checkout:  Moving at the Speed of Consumer Expectations

Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.

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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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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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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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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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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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Sentiment Analysis—and Why Computers Can't Do it Alone

Sentiment Analysis—and Why Computers Can't Do it Alone

Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.

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How Fintech Companies Securely Outsource Data Processing

How Fintech Companies Securely Outsource Data Processing

Fintech firms are understandably wary of outsourcing data processing, but security measures exist to mitigate risk and maximize workflow efficiency.

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ICYMI: Key Insights from Smart Cities Expert Jonathan Reichental

ICYMI: Key Insights from Smart Cities Expert Jonathan Reichental

In our latest event, we talked with smart cities expert Jonathan Reichental about the future of urban development. Here are some key insights from our chat

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4 NLP Innovators You Should Know About

4 NLP Innovators You Should Know About

With almost half of all online search queries now being spoken, natural language processing (NLP) is booming. Learn about 4 top innovators in the space.

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ICYMI: Key Insights from Data Science Icon Usama Fayyad

ICYMI: Key Insights from Data Science Icon Usama Fayyad

3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.

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Now is the Time for Medical AI Adoption

Now is the Time for Medical AI Adoption

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

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