All insights
Latest insights
AI DataFour benefits of using crowdsourced data for machine learning
Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
AI DataWhat is edge AI computing?
What is edge computing in simple terms? Learn how edge artificial intelligence and edge computing are improving modern technology.
AI DataAI in education: Four real world uses
AI in education is a field of evolving research, development and implementation. Discover the various forms, where they are used, and the machine learning models behind them.
Digital ExperienceA beginner-friendly glossary of chatbot terms
Learn the basic chatbot terms you’ll need to know before diving into further research about how a chatbot works or how to build one.
AI DataFive types of search engine evaluation to improve search relevance
Looking to improve your search relevance? Here are five types of search evaluation services that can help you strengthen your search engine.
AI DataThe 50 best free datasets for machine learning
Are you looking for open datasets for machine learning? View our ultimate cheat sheet for high-quality datasets.
AI DataHealthcareAI in medicine: Three applications for healthcare chatbots
Medical AI is changing healthcare, but how? In this article, we examine the benefits of healthcare chatbots for physicians, patients and administration.
AI DataFive types of image annotation and their use cases
Wondering which image annotation types best suit your project? In this article, we introduce five types of image annotation and their applications.
AI DataRetail & EcommerceFive strategic uses for AI in eCommerce
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.
AI DataHow to select the right machine learning algorithm
Discover seven key factors that can help you choose the best algorithm for a machine learning project.
AI DataWhat is text annotation? Five different types of annotations
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
AI DataWhat's slowing down the pace of AI innovation?
While the pace of AI innovation is quick, it is not without obstacles. Navigate around impediments with insights from this article.
Be the first to know
Get curated content delivered right to your inbox. No more searching. No more scrolling.
Subscribe now