Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
Discover the most common types of image annotation for computer vision AI to help you pick the right tools and resources for your projects.
Trust is fundamental to any use of machine learning — healthcare is no exception. Read on as we look at trust and machine learning in medicine.
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
Take an in-depth look at one particular use case of natural language processing that is founnd in many people’s daily lives: voice assistants.
Get an inside look at the most popular uses for AI in ecommerce: what it does, how it is used and practical first steps for your business.
Are you looking for open datasets for machine learning? View our ultimate cheat sheet for high-quality datasets.
Learn about product categorization (also known as product classification) and how it’s crucial to the eCommerce industry.
Facial recognition is a field within AI and computer science that seeks to give machines the ability to interpret human faces. This beginner’s guide explains types of face recognition processes, how they work, various applications and how accurate they are today.
Learn what optical character recognition (OCR) is, what it’s used for and how OCR systems are trained.
Capturing enough accurate, quality data at scale is a common challenge. Discover four ways to source raw data for machine learning, and how to go about annotation process.
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