The 4 layers of automated data labeling for faster AI goals

The 4 layers of automated data labeling for faster AI goals

Uncover the four layers of automated data labeling—pre-labeling, pre-trained models, hosting, and technology—to achieve faster and smarter AI goals.

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Building a machine learning solution foundation: For business leaders

Building a machine learning solution foundation: For business leaders

This blog post uses Maslow's hierarchy of needs to illustrate how business leaders can build a machine learning (ML) solution foundation.

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Building a machine learning solution foundation: For technical leaders

Building a machine learning solution foundation: For technical leaders

ML models need a foundation of data, annotation, and optimization to succeed. Learn how with a technical spin on Maslow's hierarchy of needs.

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Top AI innovators who value high-quality data labeling

Top AI innovators who value high-quality data labeling

AI innovators who value high-quality data labeling. We help scale data annotation with skilled annotators, predictable pricing, and quick turnaround times.

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Accelerated Annotation adds keypoint and video understanding to roster

Accelerated Annotation adds keypoint and video understanding to roster

CloudFactory introduces keypoint and video understanding to Accelerated Annotation data annotation tool.

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Human in the loop: Will it always be a big deal?

Human in the loop: Will it always be a big deal?

Even as companies shift from a model-centric to a data-centric AI focus, humans in the loop remain critical in accelerating AI development.

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Improving industrial inspections using drones: 4 use cases

Improving industrial inspections using drones: 4 use cases

These 4 use cases examine why using drones to collect data makes industrial inspections safer, more accurate, and more efficient than manual inspections.

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The 5 most common pitfalls in data labeling: webinar recap

The 5 most common pitfalls in data labeling: webinar recap

Learn the five most common pitfalls in data labeling and proven tips on how to avoid them from the experts at CloudFactory.

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Accelerated Annotation Supercharged by Meta’s Segment Anything Model

Accelerated Annotation Supercharged by Meta’s Segment Anything Model

We’ve integrated Meta AI’s Segment Anything Model (SAM) into our Accelerated Annotation product to deliver precise segmentation at unprecedented speeds.

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5 takeaways from the AI innovation in industrial asset management webinar

5 takeaways from the AI innovation in industrial asset management webinar

Get the 5 essential takeaways from the CloudFactory and Abyss Solutions AI Innovation in Industrial Asset Management webinar.

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Accelerated Annotation: AI-assisted labeling with a human touch

Accelerated Annotation: AI-assisted labeling with a human touch

Meet Accelerated Annotation – a Vision AI product that blends AI-assisted labeling & humans to give you accurate data labels efficiently & quickly.

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A Year in Review and A Look into the Future

A Year in Review and A Look into the Future

Looking back on CloudFactory’s investments in tech and people in 2022 with gratitude as we build, invest, and grow to set our clients up for success in 2023.

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7 Interesting LiDAR Applications

7 Interesting LiDAR Applications

LiDAR is a useful technology for several industries, from autonomous vehicles to aerial inspections. Here are seven interesting applications of LiDAR.

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4 Ways AI and Humans are Changing the Future of Insurance

4 Ways AI and Humans are Changing the Future of Insurance

See how insurance carriers and insurtechs are reducing risk, optimizing sales, and improving claims with AI, automation, and machine learning.

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LineVision + CloudFactory: Optimizing the electron highway with high-quality drone data and AI

LineVision + CloudFactory: Optimizing the electron highway with high-quality drone data and AI

Interview recap: CUAV News asks CloudFactory about LineVision, industrial asset management, aerial inspection, and high-quality drone data processing

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What—no LiDAR? Using 2-D Visual Data to Advance Autonomous Driving

What—no LiDAR? Using 2-D Visual Data to Advance Autonomous Driving

Learn how Driver's dashcam app, Tesla's neural rendering, and NC State's MonoCon technology use 2-D visual data instead of LiDAR to train AV models.

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