How Graph Data Science Can Turbocharge Your Knowledge G Knowledge graphs are becoming mission critical across many industries. more recently, we are witnessing the application of graph data science to knowledge gr. Discover the powerful outcomes of applying graph data science methods to knowledge graphs, and learn about various techniques and models used in this field. gain insights into how the neo4j platform enables the detection of implicit relationships in graphs that are impossible to find through other means.
How Graph Data Science Can Turbocharge Your Knowledge G Big data ldn 2022, 21 sept, 10:40am, ai & mlops theatrespeaker: kristof neys, neo4jknowledge graphs are becoming mission critical across many industries. mor. Knowledge graphs are becoming mission critical across many industries. more recently, we are witnessing the application of graph data science to knowledge graphs, offering powerful outcomes. but how do we define knowledge graphs in industry and how can they be useful for your project?. In this talk, we will illustrate the various methods and models of graph data science being applied to knowledge graphs and how they allow you to find implicit relationships in your graph which are impossible to detect in any other way. Kristof neys, director graph data science technology at neo4j, explains to bi platform what a knowledge graph is and the advantage it offers for data science. using large language models to augment a knowledge graph allows for vector search in a graph database like neo4j.
How Graph Data Science Can Turbocharge Your Knowledge G In this talk, we will illustrate the various methods and models of graph data science being applied to knowledge graphs and how they allow you to find implicit relationships in your graph which are impossible to detect in any other way. Kristof neys, director graph data science technology at neo4j, explains to bi platform what a knowledge graph is and the advantage it offers for data science. using large language models to augment a knowledge graph allows for vector search in a graph database like neo4j. On september 12th en 13th the big data expo took place in the jaarbeurs utrecht, the netherlands. bi platform made a series of interviews at the expo with va. Neo4j. kristof is director graph data science technology in the field engineering team at neo4j, the leading graph technology platform, where he advises on and implements data science and genai solutions for neo4j’s clients. kristof holds a msc in mathematics and a msc in data science from the university of london.
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