What You Need to Know to Solve Your Data Puzzle

What You Need to Know to Solve Your Data Puzzle

How solving a Rubik’s cube® is like labeling your unstructured data.

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5 Strategic Steps for Choosing Your Data Labeling Tool

5 Strategic Steps for Choosing Your Data Labeling Tool

Your choices about tooling and workforce will be important factors in your success as you design, test, validate, and deploy any ML model.

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The 3 Hidden Costs of Crowdsourcing for Data Labeling

The 3 Hidden Costs of Crowdsourcing for Data Labeling

Crowdsourcing seems to offer a cheap option for training machine learning models, but it’s rarely as inexpensive as it seems. Here are some of the hidden costs of the crowd.

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The Life of a Data Scientist [Infographic]

The Life of a Data Scientist [Infographic]

What is a data scientist and what do they do? Explore their roles, responsibilities, and contributions to AI and machine learning.

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The Leading Causes of Dirty Data

The Leading Causes of Dirty Data

We look at the leading causes of dirty data, which research shows is the most common problem for people who work with data.

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Automation Paradox: Why Automation Needs Humans

Automation Paradox: Why Automation Needs Humans

Automation needs humans to address complex tasks that computers simply aren’t equipped to handle.

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Autonomous Vehicles Depend on Good Data: Here's How We Help

Autonomous Vehicles Depend on Good Data: Here's How We Help

We help our customers prepare the datasets for their computer and machine vision algorithms.

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Meet the Humans Behind AI

Meet the Humans Behind AI

Humans are the builders and the trainers of every AI technology, and humans will be the cornerstone of work for a long time to come.

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