The benefits of Machine Learning in the fight against financial crime no longer need to be
demonstrated. Thanks to its ability to explore very large volumes of data and to finely model
suspicious behavior, Machine Learning can detect fraud attempts and
highly sophisticated money-laundering networks.
However, Machine Learning has been slow to be adopted by some financial establishments. This
reluctance can be explained by the nature of the fight against fraud. Indeed, to
respond to instantaneous, sophisticated and constantly evolving fraud attempts,
risk management teams must themselves be highly responsive and able to evolve
their strategy in real time and with complete confidence. This need for agility and autonomy on the part of the business
may seem, at first sight, incompatible with the complexity of Machine
Learning technologies.
However, it is perfectly possible today to integrate Machine Learning models into
business processes, and make Machine Learning a daily productivity tool for
the fight against financial crime.
IN THIS E-BOOK, WE PRESENT :
- The contribution of Machine Learning to the prevention of financial crime.
- The specificities of financial crime prevention, and the challenges of responsiveness and autonomy
in this field. - The prerequisites for a Machine Learning solution to be effective in
preventing financial crime
Feel free to download the ebook here: https: //advanthink.com/vous-etes/telechargement/?document=Banque%20de%20d%C3%A9tail%20%3A%20prot%C3%A9ger%20tous%20vos%20moyens%20de%20paiement