2023 has seen the emergence to maturity of a new technology with the potential to disrupt several industries. Deployments of systems based on large language models are now entering production, and research on a wide family of models is prolific. We now have enough feedback to look through the hype and understand that models are as good as the data that feed them; that specialized tasks can be accomplished through specialized data; and that the quality of applications and the ability to validate results only come together with well-managed data. 

Knowledge graphs have demonstrated their usefulness for navigating complex data landscapes, providing agility for application development, analytics, and machine learning dataset construction. They consequently take a crucial role next to large language models. 

The emphasis is often put on enterprise knowledge graphs as the pinnacle of data management, encompassing data integration and data governance in the modern data stack. It is however important to consider smaller knowledge graphs, often domain-specific, that are often critical assets of startups.

We would like to hear about your knowledge graph journey in the next edition of the Knowledge Graph Conference. May you be an executive in a large organization that can report on a large-scale deployment of the technology and the impact on your business, or an engineer presenting a specific graph or tool, we want to hear from you. 

Successful applications of knowledge graphs for LLM retrieval augmented generation and fine-tuning are welcome. Integrations of knowledge graph technology in modern data management environments, like data lakes and the modern data stack. And more than ever we want to hear how knowledge graphs are powering your business.

Submissions Require the Following:

• Basic personal and professional information
• Name of the Presentation
• Short summary of the Presentation
• Long description and supplemental information/files (if applicable)
• Specification if you will be delivering your presentation in-person at Cornell Tech NYC (spaces are limited) or virtually online

You will be required to create a login when submitting a presentation.  This will allow you to save a draft, modify a submission and/or withdraw a submission before the application deadline.