Data Analytics: The Key to a Successful Regulatory & AI Strategy
Unstructured data is growing at over 80% annually. Organisations that set up sound data governance processes increase their chances of meeting their business goals and reduce their risk of compliance breaches.
Hear how a global leader has deployed data analytics, including AI, natural language processing and self-learning algorithms. Learn how the implementation and deployment of the technical solution successfully reduced risk, dramatically improved the quality and auditability of its data output, and created an accurate view of the overall economics of its organisation.
The keys to their success were allowing the technology significant exposure to real data, going through a learning process; inspiring interaction and getting feedback from the business. An important lesson was that realising benefits from complex technologies like AI requires data be clean, easily located and closely controlled.
Ruth Wandhöfer operates at the intersection of technology, regulation and financial services. She is a regulatory expert and one of the foremost authorities on transaction banking regulatory matters. She mentors start-ups in London and the US, while pursuing a PhD on blockchain/distributed ledger technology. She is on the advisory board of Coinfirm, a blockchain Anti Money Laundering and risk analytics firm. She is a fellow lecturer at Queen Mary London School of Law and has completed studies in various countries, an LLM in International Economic Law (UK), an MA Financial Economics (UK), and an MA International Politics (FR).