London-based Synechron has launched a LIBOR accelerator using data science to address thechallenges of financial sector benchmarking. The accelerator for LIBOR Impact Analysis enables financial institutions to identify and quantify their LIBOR exposure at either a contract level or across all contracts within an institution. Thesolution leverages Optical Character Recognition (OCR) and three levels of Natural Language Processing (NLP) to identify and quantify LIBOR exposure at the contract level, or across all contracts within an institution.It then allows contracts to be revalued using alternative rates and valuation models for a significant reduction of manual LIBOR impact assessments.
A-Team Insight Briefs
This webinar has passed, but you can view the recording here. Much has been made of the initiative to create a global standard legal entity identifier (LEI). Its backers have taken great pains to explain how the new identifier will improve transparency and contribute to the ongoing regulatory war against systemic risk. After months of...
Unstructured data offers untapped potential but the platforms, tools and technologies to support it are nascent and are often deployed for a specific problem with little reuse of common technologies from application to application. The challenges of managing and analysing unstructured data, and considerations when making investments in the data, were discussed during a panel...
Now in its 9th year, the Data Management Summit (DMS) in London explores the shift to the new world where data is redefining the operating model and firms are seeking to unlock value via data transformation projects for enterprise gain and competitive edge.
Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...