Putting Data Semantics to Work…Finally…In Financial Institutions

Data Semantics should be at the core of all computing, and especially the sophisticated computing required in the financial sector for AI, complex analytics, and large-scale computing, but why are most institutions still struggling to get it right? After all, in the context of data, “semantics” refers to the study of meaning within data, and recognizing the true meaning of data by understanding the relationships between different data points and entities, There are multitudes of ontologies being fielded, from FIBO* to FIGI** and more, and data semantics are even written into the recent Financial Data Transparency Act, but practically, as an industry we still have far to go to implement semantics – whether proprietary or standardized – into our enterprises and our work for maximum effect. Few organizations are expert, and many are still trying to get started.

Data strategists, scientists, and stewards who in Federal financial regulatory agencies — who oversee the industry professionals implementing data semantics in their businesses — will want to join this webinar to get a deeper understanding of financial semantics for data and how to put the technology, including existing standards, to work.

The Object Management Group’s Standards Development Organization (OMG) and the Enterprise Data Management Council (EDMC) have long been committed to enabling banks and other financial institutions to incorporate semantics into their enterprise data operations.