The Path from Structured to Unstructured Data
Technological advances in deep learning models have made it easier to use unstructured data for a whole new class of AI and ML tasks.
What is unstructured data?
Knowing the difference between structured and unstructured data helps to gain an understanding of the power of Natural Language Processing (NLP). Unstructured data isn’t neat and orderly.
What’s exciting about NLP is that it is gaining the ability to accurately analyze “wild data”—language-based data, like comments posted on internet review sites, tweets, free-form survey data, social media, omor news and videos about a location.
In The Path from Structured to Unstructured Data white paper read about:
- Unstructured data use in the enterprise
- Advanced deep learning models
- Data infra requirements for unstructured data