The potential of AI is spoken about more if not as much as the practicality of its use. By 2027 the AI market is expected to reach over $400 billion which should come as no shock to anyone. Seen with the emergence of ChatGPT, AI can be used as a tool to make financial crime easier. Traditional compliance software’s are quickly becoming outdated with the need of more creative and innovative software programs to combat rising concerns. AI can quickly identify red flags and alert compliance executives to potential risks. The benefits of AI span from: surveillance monitoring, how to reduce false positives to data collection. As new AI technologies begin to enter the financial services industry, compliance professionals will be forced to rethink existing operational models and traditional approaches to risk management.
- Analysing EU’s first guidance principles on AI
- Understanding the purpose of AI
- It is not just technology but a capability.
- What is a clear and defined strategy?
- How to effectively use AI
- The importance of having senior level body or team that is responsible for coordinating activity across organisation.
- How to build useful data in order for AI to be effective
- How is good quality of data defined? What does it look like? Insight into how innovative software and tech companies are utilising AI to mitigate risk and build data set.
