Linguistic diversity in AI and ML: Why it’s important
Linguistic diversity in AI means more access, inclusion, and use cases for everyone who benefits from machine learning.
The machine learning workflow: Key steps and best practices
Master the machine learning workflow with this guide. Learn key steps, best practices, and tips for building successful ML models.
Conversational AI for customer service: How to get started
Learn how companies can leverage conversational AI for customer service. This guide provides best practices and insights to get started.
Medical image annotation: goals, use cases & challenges
Uncover the world of medical image annotation. Learn its common applications, challenges, and how to get started.
Conversational AI: How it works, use cases & getting started
Conversational AI is the synthetic language and brainpower that makes human interactions with machines more effective and natural.
The fundamentals of audio annotation: techniques & services
Learn essential audio annotation techniques, discover top annotation services, and understand their role in AI.
Named Entity Recognition (NER): An introductory guide
This beginner’s guide explains what Named Entity Recognition (NER) is, how it works, its challenges, and real-world applications.
How to scale data annotation with an effective strategy
Discover how to scale your data annotation process through outsourcing services. Learn about the options available and how to prepare.
Ethical AI vs. Responsible AI
There’s a lot of talk about ethical AI, or ethics in artificial intelligence, but what exactly does that mean? And is it different from responsible AI?