Given there will be more than 175 zettabytes (that’s 175 trillion gigabytes) of data by 2025, we ask - can the efficient exploitation of unstructured data be the key that unlocks the vault of suspicious activity in the world of financial crime?
In terms of financial crime applications, unstructured data can support a deeper, more contextual analysis of on-boarding risk assessment, watch-list management, and alert investigation. For example, NLP technology can be used to help analyse adverse media as well as extracting useful metadata and intelligence summaries from documents.
Joint intelligence sharing and investigation between fraud and AML teams, between coalitions of banks, and between private and publication organisations, will proliferate the amount of unstructured data available to help combat financial crime and this sharpens the need for tooling and technology to process and analyse it in a timely and accurate fashion.
SPEAKERS:
- Moderator: Richard Maton, Advisor, International RegTech Association and Aperio Strategy
- H.E. Ambassador Richard Wood, British Embassy Oslo
- Sara Ekstrand, Senior Legal Counsel, Swedish Banker’s Association
- Ross Pudney, Head of SAR Analytics and Oversight, Danske Bank
- Enda Shirley - Compliance Product Management Lead at BAE Systems Applied Intelligence
- David Nicholson, Analytics Product Manager at BAE Systems Applied Intelligence
