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Why Sigma: Quality

Five Factors of Training Data Quality Quality in, quality out — an AI is only as smart as its training data. Artificial intelligence algorithms learn by example, so to create smarter algorithms, both the original dataset and the annotated data have to meet high quality standards.  At Sigma, we’ve identified five key quality factors for

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Why Sigma: Quality

Why Sigma: Quality

Five Factors of Training Data Quality Quality in, quality out — an AI is only…

BySigma AIAug 17, 2022
Why Sigma: Speed and Scalability

Why Sigma: Speed and Scalability

Creating efficient processes through iteration and customization When annotation data quality is so crucial to…

BySigma AIAug 17, 2022
Why Sigma: Flexibility and Problem-Solving

Why Sigma: Flexibility and Problem-Solving

We Thrive in Complexity — And Love a Challenge If there’s one thing that’s permanent…

BySigma AIAug 17, 2022
Why Sigma: Service and Experience

Why Sigma: Service and Experience

Customer Needs Come First  Each client is unique and has its own working style, needs…

BySigma AIAug 17, 2022
Why Sigma: Data Privacy, GDPR, and Security Compliance

Why Sigma: Data Privacy, GDPR, and Security Compliance

Data Is Your Most Precious Asset — We Keep It Secure Data security is crucial…

BySigma AIAug 17, 2022
Why Sigma: Human-Centric AI

Why Sigma: Human-Centric AI

AI Has an Impact — We Want to Make It a Positive One Sigma is…

BySigma AIAug 17, 2022
Why Sigma: Core Values

Why Sigma: Core Values

Putting Humans at the Heart of Our Practices At Sigma, we believe that good AI…

BySigma AIJul 23, 2022
The Fundamentals of Audio Annotation

The Fundamentals of Audio Annotation

Voice technology adoption is on the rise. Gartner forecasts that 2023 is the year when…

BySigma AIJun 16, 2022
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Sigma.AI is a global training data collection, preparation and annotation services company. For companies building the next generation of AI, we provide highest quality training data at scale, with a human touch.