Experts Juan Sequeda, Dean Allemang, and Bryon Jacob discuss the impact of knowledge graphs on language models' accuracy for question answering on enterprise SQL databases. They highlight the benchmark results showing significant improvement in accuracy and emphasize the importance of investing in knowledge graphs to enhance AI systems.

Knowledge graph experts from data.world discuss their work on using knowledge graphs to improve the accuracy of language models for question answering on structured SQL databases. They explain the creation of a knowledge graph from a data warehouse, evaluate the effectiveness of knowledge graphs in improving question answering accuracy, and discuss how to convince organizations to adopt knowledge graphs for improved data exploration. They also highlight the benefits of knowledge graphs, compare RDF and property graphs, and emphasize the importance of improving knowledge graph accuracy and combining knowledge graphs with vector databases.

Experts Dean Allemang, Fabien Gandon, and James Handler discuss the past, present, and future of the semantic web. They debate its potential as a universal medium for data exchange. Topics include linked data, knowledge graphs, and enterprise metadata management.