Faculty of Economics
Ontologies provide formal definitions for concepts within a particular domain. Designed to represent entities and the relationships between them, ontologies rule out ambiguity and help interpret data regardless of the context. Standardized terminologies and classifications represent data in structured, machine-readable formats to advance interoperability between various information systems.
As AI is rapidly transforming industries around the world, data semantics proves crucial to business intelligence. By ensuring data consistency and uniformity across multiple systems and datasets it turns data into a valuable asset that helps unlock the full potential of machine learning algorithms.
For example, financial institutions are increasingly leveraging data semantics to simplify data analysis and make well-informed decisions. This expert-led webinar gives a valuable insight into the Financial Industry Business Ontology (FIBO) and reveals how data semantics is reshaping the financial sector.
For more information on the topic read the publications below:
Bloomberg Experts: Semantic Tech to Improve Financial Operations
Russian Federation, 119991, Moscow, GSP-1, Leninskie Gory,
Lomonosov Moscow State University,
Building 1, Building 46 (New Academic Building 3), Faculty of Economics, rooms 546, 548, 550
Department of Economic Informatics
Our website is at econ.msu.ru
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Email: ecinf.econ@org.msu.ru