This episode of Techsplainers explores unstructured data - information without predefined formats that makes up 90% of enterprise data. Amanda explains how unstructured data differs from structured and semi-structured data, covering its diverse sources from emails to social media posts to sensor data. The discussion highlights why unstructured data has transformed from ""dark data"" into a strategic asset, particularly for AI applications. We explore key use cases including generative AI training, retrieval augmented generation (RAG), sentiment analysis, and predictive analytics. The episode also covers storage solutions like object storage and data lakes, plus processing tools that help organizations extract value from their unstructured information. With proper governance and management, unstructured data has become the fuel powering today's AI revolution. 

Find more information at https://www.ibm.com/think/topics/unstructured-data 

Find more episodes at https://www.ibm.biz/techsplainers-podcast 

Narrated by Amanda Downie