The Importance of Data Privacy and Security in Data Annotation
Data security is a growing concern for most businesses, especially those who have significant data annotation needs.
What is Data Annotation?
The machine learning market will grow from $21 billion in 2022 to $209 billion by 2029, with an annual growth rate of 44.1%. Nonetheless, data quality plays a critical role in the performance of machine learning models. With the growing demand for machine learning models, there’s a greater need for quality annotation services. Data annotation […]
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.
Three 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. So humans are ready for AI. But is AI ready for us? One of the biggest challenges that AI faces at […]
Minimizing the Risks of Outsourced Data Annotation
As the world becomes more AI-driven, the confidentiality of machine learning data is paramount.
Data Security for Data Collection and Annotation
Data security is crucial in data collection and annotation. Data can contain sensitive information.
Data Privacy and GDPR for Data Annotation
When outsourcing data collection and annotation, make sure your partner is GDPR compliant.
Do You Know Where Your Training Data Is?
Companies need to keep tabs on where their training data has been, what it’s involved in now, and where it is going.
Natural Language Processing Services
The use of machine learning models in NLP enables computers to better understand human language.