Your AI System Sees the World in Three Completely Different Languages.

1. 1Identify the types of data in your dataset using data classification tools
2. 2Build a data pipeline to handle structured, unstructured, and semi-structured data
3. 3Configure data processing algorithms to accommodate different data types
4. 4Test data models using sample datasets
5. 5Apply data validation techniques to ensure data quality

Data scientists, analysts, and AI engineers on a team benefit from understanding data types to make informed decisions and build effective AI models

💡 Treating structured, unstructured, and semi-structured data as interchangeable can be costly and lead to inaccurate AI models

🤖 AI systems see the world in 3 languages: structured, unstructured & semi-structured data. Know the difference to build better models!