Why Sigma: Our Mission is Solving Your Pain Points
At Sigma.AI, solving your most complex data annotation challenges is what we do best.
Why Sigma: Our Values
For companies building the next generation of AI, Sigma provides the highest quality training data at scale, with a human touch.
Ensuring data privacy and security in data annotation
Protect sensitive data during the annotation process. Discover best practices for ensuring data privacy while maintaining data quality.
What is Human in the Loop (HITL)?
Human in the loop machine learning refers to models that reinforce the information produced by ML with constant human influence.
3 training data challenges hurting AI
The AI-driven world we’ve been promised for years has arrived. Data-driven businesses are all turning to Artificial Intelligence to improve output. In fact, 45% of them say they’ve already integrated AI as part of their operations. Humans are ready for AI. But is AI ready for us? One of the biggest data training challenges that AI faces […]
Minimizing the Risks of Outsourced Data Annotation
As the world becomes more AI-driven, the confidentiality of machine learning data is paramount.
Natural Language Processing Services
The use of machine learning models in NLP enables computers to better understand human language.
What is Data Labeling?
In machine learning, data labeling is the process of adding labels to raw data in order to provide context for a machine learning model.
The Intricacy of Assessing Data Quality
Every AI professional agrees that the quality of training and testing data is of the utmost importance in machine learning. The better the quality of data, the better the performance…