Join us for the special Memgraph Webinar and learn how AstraZeneca ingest data sources in the Biological Insights Knowledge Graph (BIKG) and distributes it to data scientists and domain experts. You will also find examples of how this knowledge graph assists scientists in therapeutics development.
About the speaker:
Michaël Ughetto is a graph data scientist at AstraZeneca working in the Biological Insight Knowledge Graph team. With a background in particle physics and machine learning, Michaël is interested in graph and geometric learning. Currently, he is focusing on applying graph technologies to drug discovery challenges.
About Memgraph:
Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently.
It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, & criminal risk assessment), 360-degree data and network exploration [Identity and Access Management (IAM), Master Data Management (MDM), & Bill of Materials (BOM)], and logistics and network optimization.
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