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?
Data Security and the Annotation Process
Data security is a growing concern for most businesses, especially those who have significant data annotation needs.
The Future of AI is Human
An interview with Sigma.AI founder and CEO Daniel Tapias.
Data Preparation 101
Data preparation is a critical step in ensuring data is clean, usable, and properly interpreted for use in machine learning.
Why Sigma: Quality
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.
Why Sigma: Data Privacy, GDPR and Security
Data is your most precious asset. Sigma.AI keeps it secure and compliant with GDPR, ISO27001 and SOC-2 Type II throughout collection and annotation.
Why Sigma: Speed and Scalability
Is it possible to deliver highest quality AI training data at scale? At Sigma.AI, we deliver best quality data annotation, fast — find out how.
Why Sigma: Service and Experience
Every client has unique AI training data needs. Sigma tailors our services to customer requirements, customizing annotation teams, processes and technology.
Why Sigma: Flexibility and Problem-Solving
Demands on training data are growing as AI applications evolve. At Sigma.AI, we love complex data challenges — and we’re flexible enough to solve yours.