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AI and Machine Learning are the future – but are we ready?

The biggest challenges currently facing all risk professionals is not evolving typologies, it's trying to get on top of the existing risks, which could be identified in our client profiles should our systems integrate, data be streamlined, and there exists "one source of the truth" in all our data.

But this is not the case – and until we have solved the Big Data problem we cannot expect to move to a fully automated AI and Machine Learning.

However we cannot just stay stationary – we need to evolve whilst we work towards the longer term AI goal. We need to be innovative, but we also need to do this in a practical and cost efficient way.

We know the problem statement and the future vision, but we need to still demonstrate effective deterrents and challenges to combat Financial Crimes, whilst we build for the future.

The great news is there are solutions, whether they are an interim adaption or add-ons, which can be used to help us slowly learn how we need our systems to evolve, how our technology needs to be modified and enhanced to support it, and challenge us all on innovation.

This webinar will explore:

  • The challenges in fragmented big data
  • What we need to do to clean up our data to enable machine learning and AI integrations
  • What we can do as interim solutions during data clean up to enable add-ons to be incorporated to allow for enhanced Transaction Monitoring capabilities and functionalities

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