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Anti-money laundering is an important issue for governments and banks alike. The fight to prevent terrorist financing and profiting from crime means that banks and other financial institutions are increasingly required by regulations to put anti-money laundering systems in place. Many are turning to analytics in the process, and particularly to
Et si, en dehors de la nouvelle organisation des moyens de production, la 4ème révolution industrielle induisait également une évolution significative dans la gestion de la connaissance intrinsèque à chaque domaine ? Et si les nouvelles technologies numériques permettaient aux acteurs opérationnels d’accéder simplement à cette connaissance, le plus souvent fruit de méthodes
The number of models used by large operators in the financial sector is increasing by around 10 to 25 percent per year. Most of the new models are designed to meet business needs, such as pricing, the definition of strategic plans and the management of liquidity. Some, though, are for
Hackathons are short-term programming events that use data and analytics to solve real-world challenges. They have been around for a while now, and there is general agreement that they are great opportunities for networking and experimenting. There is also, however, now a growing sense that organisations can use them to
The recently released results of a new joint survey from SAS and the Global Association of Risk Professionals (GARP) on the use of AI in risk management makes for very interesting reading. Here are the highlights from the study, which involved more than 2,000 participants from across the global financial
Let’s be blunt. Procurement fraud is a problem. Orders and purchase procedures are one of the most vulnerable areas of corruption. The scale of irregularities and abuse in the procurement area is large. In fact, procurement fraud is the second-biggest economic crime after theft. Estimates suggest that businesses can