AI Best PracticesThe human side of AI and data annotation
When most people think of AI, they think of computers and exuberant datasets. But humans are the most critical piece of any AI project. Learn why.
Data AnnotationWhat is data annotation and why does it matter?
Discover what data annotation is, why it’s important and the key types of data annotation processes that help fuel our AI-driven world.
AI Best PracticesHow do you train artificial intelligence?
Every AI and machine learning project requires training in order to excel. Learn what AI training is, how it works and discover some tips for success.
Data CollectionFive pitfalls to avoid before you start collecting data
Discover five of the most common pitfalls brands encounter with data collection — and ways to successfully overcome them.
Linguistic AnnotationTraining data is key for natural language processing algorithms
Learn about how data scientists use large volumes of annotated data to improve the decision-making of AI models.
Computer VisionWhat is computer vision?
Humans and animals use their eyes to see the world around them; computer vision is the science that aims to give a similar skill to machines. Learn how in this overview.
Data AnnotationHow to outsource image annotation
As the list of managed data service providers grows, how do you decide which to trust? Discover key steps for selecting the right data annotation company for your project.
Data AnnotationFive reasons why data annotation matters
Data annotation is the invisible infrastructure behind our AI-powered future. Learn more about this industry and why it’s never mattered more.
Linguistic AnnotationFive text annotation services for voice assistants
Voice assistants are more prominent than ever. Discover five text annotation services to help you build an industry-leading voice assistant.
Linguistic AnnotationThe essential guide to sentiment analysis
In this introduction to sentiment analysis, we discuss what it is, how it works, and offer advice for building a sentiment analysis model.
Linguistic AnnotationThe essential guide to entity extraction
Covering everything from the basic makeup of an entity to popular formatting methods, this entity extraction guide will help you with your next AI data project.
Data AnnotationFive approaches to data labeling for machine learning projects
In this article we cover five common approaches to data labeling for machine learning, along with pros and cons for each.
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