Category: Annotation

Human annotators in AI: Adding context & meaning to raw data

Human annotators in AI

Let’s start with the basics: Who are data annotators? Data annotators are responsible for manually labeling and categorizing data, to ensure it’s understandable and useful for machine learning algorithms. This process, known as data annotation, involves tagging, reviewing, and validating various types of unstructured data, including text, images, video, and audio. The result is a […]

Your gen AI data roadmap: 5 strategies for success

Your gen AI data roadmap: Explore 5 strategies for success

Gen AI data roadmap to kickstart your journey 1 – Preparing for gen AI begins with a data strategy Data is the fuel of AI. For companies to fully leverage the potential of this technology, a strong data foundation is imperative. This involves addressing data management issues related to quality, security, transparency, integration, storage, and […]

How gen AI is transforming the role of human data annotation

Explore how gen AI is transforming the role of human data annotation

5 key challenges of human data annotation in the gen AI era The potential of the global data collection and labeling market is immense, with a projected revenue of US$17 billion by 2030, growing at nearly 30% annually. Domain-specific models are driving rapid growth in specialized industry sectors, such as healthcare. Here’s why human data […]

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Whether you need help sourcing and annotating training data at scale, or you need a full-fledged annotation strategy to serve your AI training needs, we can help. Get in touch for more information or to set up your proof-of-concept.
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