The enRichMyData project, in collaboration with the INTEND and Dynabic projects, is set to host an insightful session titled “Generative AI for Data and Knowledge Engineering” at the Big Data Value Association Forum (BDVAF) 2024 in Budapest, taking place from 2-4 October. This session will explore the transformative potential of generative AI, particularly large foundational models like Large Language Models (LLMs), in revolutionizing how data is collected, managed, and accessed.
Generative AI and LLMs offer groundbreaking advancements in the handling of both structured and unstructured data. Natural language interfaces are set to open new possibilities for interacting with vast, complex data sets, while tasks such as entity linking, reconciliation, and knowledge graph construction will become more efficient and cost-effective through the use of AI-driven solutions.
The session will highlight ongoing European research and innovation efforts in the use of generative AI for data and knowledge engineering. Attendees will gain insights into cutting-edge results from various projects, along with examples of how these advancements are impacting businesses. A panel featuring experts from both research and industry will discuss the challenges and future of data management in the age of foundational AI models.
Programme Highlights:
- Entity Linking Enhanced with Generative AI: The enRichMyData approach
- AI-Powered Procurement Data Interaction: Initial operational results
- INTEND Approach: Natural language interaction with data
- Creating Benchmarks for Generative AI in Data Engineering
- Dynabic’s Vision
- InnoGraph: The future of data management
- Panel Discussion: The future of data management in the era of foundational models
This session is poised to be a must-attend for professionals interested in the intersection of AI and data management. Join us to explore the next frontier of data engineering through the lens of generative AI!
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