Breakdown New Data Silos in Generative AI

Explore the challenges and solutions for breaking down data silos in Generative AI in this 37-minute conference talk by Junping Du from Datastrato. Delve into the rapid advancement of Generative AI and foundation models, examining their potential impact on various industries. Understand the importance of high-quality data for fine-tuning and prompt engineering in improving model performance. Investigate the current issues of data silos across different data lakes and cloud platforms, addressing the costly and low-performance ETL pipelines and feature engineering processes. Learn about the difficulties in cross-departmental data discovery and how these pain points affect AI development. Witness a demonstration of open-source tools and technologies that offer practical solutions to overcome these challenges, enabling more efficient and effective use of data in Generative AI applications.