Article
- Insights
- Article
- AI Data
What’s the difference between CNN and RNN?
Discover the difference between CNN and RNN and how they are used in computer vision and natural language processing.
- AI Data
How much AI training data do you need?
It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.
- AI Data
A beginner's guide to sentiment analysis
Sentiment analysis involves classifying the subjective, contextual information within text data. Read our beginner’s guide to learn more.
- AI Data
Understanding text analysis tools
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.
- AI Data
How self-agreement can improve your training data
Are you evaluating your annotation team for quality? Read why self-agreement checks are critical for a proper evaluation.
- AI Data
AI in retail: Technologies and applications
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.
- AI Data
OK Google, how do voice assistants work?
Take an in-depth look at one particular use case of natural language processing that is founnd in many people’s daily lives: voice assistants.
- AI Data
What's slowing down the pace of AI innovation?
While the pace of AI innovation is quick, it is not without obstacles. Navigate around impediments with insights from this article.
- AI Data
What is audio classification?
Looking for an introduction to audio classification? In this article we discuss different types of audio classification and their use in machine learning projects.
- AI DataFinancial Services & Fintech
12 ways AI is transforming finance and banking
Financial services firms are increasingly implementing AI to improve their CX. Learn how they’re using the technology to tackle the latest industry challenges.
- AI Data
The importance of natural language processing for non-English languages
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
- AI Data
What is text annotation? Five different types of annotations
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
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