Discover seven key factors that can help you choose the best algorithm for a machine learning project.
AI in education is a field of evolving research, development and implementation. Discover the various forms, where they are used, and the machine learning models behind them.
Text analysis tools offer a multitude of benefits, but how do they work? We look at types of AI text analysis, their use cases and how to get started.
This glossary defines general AI and machine learning terms.
Are you evaluating your annotation team for quality? Read why self-agreement checks are critical for a proper evaluation.
AI in retail offers a multitude of benefits, but how does it work? We look at examples of retail automation and the technology that powers it.
Discover three critical ways human-annotated data improves map and navigation software.
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
As AI plays an increasingly larger role in customer service, it has the potential to bake in underlying human biases. Discover key strategies for controlling machine bias in your AI-enabled tools.
Enrich your data with our range of human-annotation services at scale.
