Understanding the technologies and how to apply them in detecting fraudulent behaviour Before embarking on an AI initiative, companies must understand which technologies perform what types of tasks, [...]
Applying Behavioural Analytics Behavioural analytics use machine learning to understand and anticipate behaviours at a granular level across each aspect of the lifecycle of a policy. The information [...]
Specialized vs Generic Fraud Analytics As in many professional fields (medicine, law, construction, etc.), there are generalists and specialists. The same applies to the development of behavioural analytics; [...]
Adaptive analytics and self-learning AI Fraudsters ensure their behaviour remains sophisticated, complex, and dynamic- a challenge where machine learning thrives. For continual performance improvement, fraud detection professionals should [...]
Big tech companies are already spinning a narrative on quantum computers for business, engineering and science. This innovation will have a profound impact on the forensic practitioner who is still learning about the difference between artificial intelligence and machine learning. Data is the fuel that drives most processes in organisations today. If we do not educate ourselves on the basics of data and how its accuracy could impact on identifying a fraudster for example; then even the best technology will only take us down a rabbit hole.