Open Source in Finance Forum New York 2024

we delve into the critical intersection RAG systems and robust data governance practices. As organizations increasingly leverage RAG to enhance their AI capabilities, the need for strong data management becomes paramount. Our discussion will cover: Data Discovery and Routing: Learn how to leverage enterprise data catalogs to enhance RAG's query processing precision and efficiency. Ownership and Explainability: Explore techniques for incorporating data ownership information and rich metadata to improve transparency and decision-making. Data Security and Access Control: Understand the implementation of Role-Based and Policy-Based Access Controls, including innovative approaches using GenAI for dynamic permission assessment. Data Quality and Bias Mitigation: Discover strategies for enriching RAG systems with data quality metrics and methods for detecting and mitigating biased data. Knowledge Graphs and Master Data Management: Uncover how these tools can dramatically improve the accuracy of LLM-based responses Data Lineage and Root Cause Analysis: integrate data lineage capabilities for enhanced explainability and efficient problem-solving. Advanced Prompting Techniques: