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?
The future of AI is human
An interview with Sigma.AI founder and CEO Daniel Tapias.
Preparación de datos 101
Data preparation is a critical step in ensuring data is clean, usable, and properly interpreted for use in machine learning.
Why Sigma: Quality for generative AI
Accuracy isn’t the only metric in AI training data quality. Sigma.AI sources and annotates data based on five quality factors to train smarter AI.
Why Sigma: Human-centric AI
What makes AI more ethical and more human? Purpose and impact matter — but so does training data. Learn about Sigma.AI’s methods to reduce bias in AI.