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Panel session: Against the surge of fraud - Investigating with AI, Data Matching, and Public Data

Join our panel discussion to learn how using advanced technology like analytics, AI, and data matching, along with public data, can help in investigations.

Event Start: Tue 03 Sep 05:30 PM AEST
Event Finish: Tue 03 Sep 07:30 PM AEST

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Registration End Date: Thu 29 Aug 05:00 PM


<p>Government services are constantly fighting against fraud, working day and night, all year round.<br><br>The Commonwealth Fraud Prevention Centre states that governments typically lose between 0.5% and 5% of their funds to fraud, as estimated globally. Fraud is becoming increasingly sophisticated, organized, and widespread, posing challenges for investigation.<br><br>You are invited to join our panel discussion to learn how using advanced technology like analytics, AI, and data matching, along with public data, can help in investigations.<br><br><strong>Participants can learn about:</strong></p> <ul><li><strong>Understanding Fraud&#39;s Impact:</strong> Learn about the widespread impact of fraud on government services, including the significant financial losses experienced by governments worldwide.</li><li><strong>Investigating Fraud Challenges:</strong> Discover the difficulties government agencies face when investigating fraud, especially considering its complex and widespread nature and the limitations of traditional investigation techniques.</li><li><strong>Technology&#39;s Role in Fighting Fraud:</strong> Find out how advanced technologies like analytics, artificial intelligence (AI), and data matching are transforming fraud investigations, making them more efficient and effective.</li><li><strong>Keeping Up with Fraudulent Trends:</strong> Explore how fraud is evolving, becoming more complex and organized.</li><li><strong>Unlocking the Power of Public Data: </strong>Explore the potential of using publicly available data in fraud investigations to improve accuracy and broaden the scope of investigative efforts, ultimately aiding decision-making and resource allocation for government agencies.</li></ul> <strong>Our panellists are: </strong> <ul><li>Rohan Samaraweera, Senior Director, Data Science &amp; Applied AI Branch, Data &amp; Economic Analysis Centre, Executive Group, Department of Home Affairs</li><li>Name (TBC), Executive Group, ATO</li><li>Kate Schearer, Director, Australian &amp; NZ Operations, Babel Street</li></ul> <strong>Facilitator: </strong> <ul><li>Eric Nguyen,<strong> </strong>Process Manager, Kinetic IT and Canberra Committee Member. <a href="https://www.linkedin.com/in/eric-nguyen-6b57b717/" target="_blank">LinkedIn</a></li></ul> <strong>Event run sheet</strong><br>5:30 PM – 5:50 PM (20 min): Login to Teams webinar<br>5:50 PM - 6:00 PM (10 min): MC and introduction<br>6.00 PM – 6:50 PM (50 min): Main presentation and Q&amp;A session<br>6:50 PM - 7:00 PM (10 min): Wrap up and introduction to ACS<br> 

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Panel session: Against the surge of fraud - Investigating with AI, Data Matching, and Public Data

  • where

  • Link will be posted 2 hours before the event commences
  • when

  • Event Start:
    Tue 03 Sep 05:30 PM AEST

    Event Finish:
    Tue 03 Sep 07:30 PM AEST
  • event price

  • Member: $0.00
  • Member-Concessional: $0.00
  • Non-Member: $15.00

  • * Your price may vary on registration depending on your membership type.

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