Thursday
Room 3
10:20 - 11:20
(UTC+01)
Talk (60 min)
The Power of Knowledge Graphs and AI: A New Era for Developers and Data Scientists
Knowledge Graphs (KGs) are data structures that can capture complex relationships between concepts in a very flexible way. They excel at harmonizing huge amounts of heterogeneous data, and we can train AI models to generate embeddings of its nodes and vertices. These embeddings can be used to infer knowledge from the graph, such as when Facebook suggests friends you may know.
Ready to dive into the world of AI and Knowledge Graphs? We'll learn the technical side of these algorithms, their real-world applications, and how to overcome their limitations. We'll also explore current lines of research to combine them with LLMs. Join us to learn about the future of AI and how you can use it to your advantage!
Aldan Creo
Aldan is a Fulbright Student, sponsored by the U.S. Department of State. He studied Computer Science in Spain, France, and Switzerland, graduating as valedictorian. He has completed four internships and been a Google Summer of Code contributor for Django. He received a public grant to undertake research on Natural Language Processing, and has been recognized for leadership and academic excellence through several awards. He is also the founder of 3 associations and contributes to open source. Currently, he is employed as a Technology Research Specialist working on Knowledge Graphs and Natural Language Processing in Accenture Labs.