Nanette George

Nanette leads content for CloudFactory and has an insatiable interest in data science and machine learning.
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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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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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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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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11 Interesting LiDAR Applications

11 Interesting LiDAR Applications

Apple just introduced its newest iPhone models, which feature a LiDAR scanner. Here’s how innovators use LiDAR to train machines to interpret the visual world.

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How Autonomous Cars Learn to See

How Autonomous Cars Learn to See

Training a car to drive itself is a heavy lift. Here’s a closer look at how it works and how people are involved in the process.

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How Computer Vision Helps Us See the Future

How Computer Vision Helps Us See the Future

Can AI help us predict the future? Here are some fascinating ways computer vision can use today’s data to model tomorrow’s outcomes.

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5 Reasons You Should Work at CloudFactory

5 Reasons You Should Work at CloudFactory

CloudFactory is a great place to be because our teams work on some of the world’s most innovative technologies and because we’re on a mission: to create work for one million ...

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When and Why AI Projects Fail (And How to Avoid It)

When and Why AI Projects Fail (And How to Avoid It)

Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.

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Lessons Learned: 3 Essentials for Your NLP Data Workforce

Lessons Learned: 3 Essentials for Your NLP Data Workforce

Natural language processing (NLP) is among the fastest growing AI technologies and one of the most difficult to develop. In this article, we'll share lessons learned over 10 years ...

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How CloudFactory Workers Help Train NLP Models

How CloudFactory Workers Help Train NLP Models

Natural language processing (NLP) is among the fastest growing AI technologies today. It’s also one of the most difficult to develop. This is the first in a two-article series ...

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5 Exciting Ways Companies Use Machine Learning

5 Exciting Ways Companies Use Machine Learning

The combination of big data and machine learning can unlock the value of data you already have to gain a competitive edge for your business.

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People Make AI-Powered Virtual Assistants More Human

People Make AI-Powered Virtual Assistants More Human

Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.

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5 Steps to Sourcing Great-Fit Cloud Labor

5 Steps to Sourcing Great-Fit Cloud Labor

As technology and the human aspect of work evolve, outsourcing will continue to play a role in the organization of the future.

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