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How AI Helps Detect and Prevent Fraud

Fraud is an increasing challenge for governments and inspectors at all levels, as fraudsters today are more successful than ever. Join our experts to explore how automation-driven efficiencies should be boosted with better integrity assurance.

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Discussion triggers

  1. Why do governments need to increase their attention on fraud prevention?
  2. What technologies are being used to minimize fraud, waste and abuse?
  3. How can governments deploy AI most effectively to prosecute fraudsters and recover funds?
  4. How do we prevent AI hacking compromising automated services provided to citizens?
  5. What options can governments use to navigate data science skills shortages?

Past panel discussions on topic

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It’s no secret that fraud has been on the rise during the Covid-19 pandemic. But what you might not expect is that scam artists are not only more pervasive, they’re more sophisticated. Join this panel to learn how scams are changing, and how you can stop the fraud before it occurs.

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Visual investigations to supercharge crime prevention

Tracing trends and relationships between events, people, organisations can be hard work. Join this panel to see how case workers and investigators can improve productivity and discovery through visual analytics.

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Fraud in the Public Domain

Even as fraud gets more imaginative and more complex, better and more effective analytics techniques, including machine learning and artificial intelligence (AI)-based algorithms, are becoming available.

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Bridging the data science talent gap in the public sector

McKinsey estimates an additional 1.1 data-savvy workers will be needed across the EU public sector by 2023. Join this conversation to explore how democratization of AI could bridge part of this gap.

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