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.
Por qué Sigma: Calidad
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.
Por qué Sigma: IA centrada en el ser humano
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.
Por qué Sigma: Privacidad de datos, GDPR y seguridad
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.
Por qué Sigma: velocidad y escalabilidad
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.
Por qué Sigma: servicio y experiencia
Every client has unique AI training data needs. Sigma tailors our services to customer requirements, customizing annotation teams, processes and technology.
Por qué Sigma: Flexibilidad y resolución de problemas
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.
What is Image Annotation?
Quality labeling and annotation of images and visual data impacts the success of your AI project.