Panel session: Using Advanced Technology in Fighting Fraud
Join our panel discussion to learn how using advanced technology like analytics, AI, and data matching, along with public data, can help in investigations.
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About this event
Government services are constantly fighting against fraud, working day and night, all year round.
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.
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.
Participants can learn about:
- Understanding Fraud's Impact: Learn about the widespread impact of fraud on government services, including the significant financial losses experienced by governments worldwide.
- Investigating Fraud Challenges: Discover the difficulties government agencies face when investigating fraud, especially considering its complex and widespread nature and the limitations of traditional investigation techniques.
- Technology's Role in Fighting Fraud: Find out how advanced technologies like analytics, artificial intelligence (AI), and data matching are transforming fraud investigations, making them more efficient and effective.
- Keeping Up with Fraudulent Trends: Explore how fraud is evolving, becoming more complex and organized.
- Unlocking the Power of Public Data: 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.
- Rohan Samaraweera, Senior Director, Data Science & Applied AI Branch, Data & Economic Analysis Centre, Executive Group, Department of Home Affairs
- Dr Rohan Baxter, Data Science | Smarter Data, ATO
- Farid Moussa, Vice President for Strategy and Public Sector at Babel street
Facilitator:
- Eric Nguyen, Process Manager, Kinetic IT and Canberra Committee Member. LinkedIn
5:30 PM – 5:50 PM (20 min): Login to Teams webinar
5:50 PM - 6:00 PM (10 min): MC and introduction
6.00 PM – 6:50 PM (50 min): Main presentation and Q&A session
6:50 PM - 7:00 PM (10 min): Wrap up and introduction to ACS
Speakers
Previously Rohan was the technical lead for the ATO’s Automation and Artificial Intelligence (A&AI) Strategy.Prior to the ATO, he held data science research and consulting positions in both government and industry in Australia and the U.S. He has developed data analytic solutions in domains such as space science, mineral exploration, disease surveillance and e-commerce
Prior to his current position, he was the National Security Agency’s Video, Image, Speech and Text Analytics (VISTA) Senior Leader, producing the NSA’s most advanced ML/AI capabilities. During his last 10 years at NSA he was the Human Language Technology Authority (HLTA).
During his 23 years at NSA, he was also a senior intelligence officer providing in-country support to counter-terrorism operations leading to the takedown of several al-Qaeda senior leaders. This led him to routinely brief the President of the United States, the Director of the CIA, and the Secretary of Defense on AQ Senior Leadership and sensitive counter-terrorism activities of interest.
Due to his accomplishments, Mr. Moussa was awarded the Presidential Rank Award of Distinguished Rank. Mr. Moussa’s career in the US Intelligence Community started in the US Navy as an airborne mission supervisor aboard the EP-3E providing near real-timeIndications and Warnings to theater and national level customers.
Under his leadership the branch has evolved into an agile and adaptive team leveraging the unique data, expertise, and intersecting missions within the Department to create public good. The branch continues to expand its analytics capabilities and services to support a broader range of portfolio areas, domestic and international partners.
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