What is synthetic data?

This is a podcast episode titled, What is synthetic data?. The summary for this episode is: <p>This episode of Techsplainers explores synthetic data - artificially generated information designed to mimic real-world data while preserving statistical properties and patterns. Amanda explains how synthetic data has become critical for AI development by addressing issues of data scarcity, privacy concerns, and training needs. The discussion covers the three types of synthetic data (fully synthetic, partially synthetic, and hybrid) and various generation techniques including statistical methods, GANs, transformer models, VAEs, and agent-based modeling. We examine the significant benefits of synthetic data - customization flexibility, improved efficiency, enhanced privacy protection, and data enrichment - while also addressing challenges like bias propagation, model collapse, accuracy-privacy tradeoffs, and verification needs. The episode concludes with real-world applications across automotive, finance, healthcare, and manufacturing industries, demonstrating how synthetic data is becoming essential for AI development.&nbsp;</p><p><br></p><p><strong>Find more information at</strong> https://www.ibm.com/think/topics/synthetic-data&nbsp;</p><p><strong>Find more episodes at </strong>https://www.ibm.biz/techsplainers-podcast&nbsp;</p><p><br></p><p><strong>Narrated by Amanda Downie&nbsp;</strong></p>