On-Demand Webinar

Navigating Sanctions in 2024: Unveiling Practical Approaches and Harnessing Technology for Advanced Detection Strategies

Duration: 45 minutes | Cost: Complimentary

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About the webinar

Modern sanctions present a complex challenge for businesses and financial institutions. However, new technologies like artificial intelligence and machine learning offer promising solutions. By leveraging these tools, organizations can enhance compliance efforts, adapt to evolving regulations, and mitigate risks effectively.

Why attend?

  • The Need for Innovation in Sanctions Screening: The ever-evolving landscape of global trade and finance demands continuous innovation in sanctions screening. Traditional methods are often inadequate for handling the complexity and volume of modern transactions, necessitating advanced technologies to ensure compliance and mitigate risks effectively.
  • Trends and Challenges of Existing Solutions: Current sanctions screening solutions face several challenges, including high false-positive rates, limited scalability, and difficulties in integrating with diverse systems. Emerging trends focus on enhancing automation, improving data analytics, and developing more adaptive algorithms to address these issues and improve overall efficiency.
  • How AI/ML Can Optimize Sanctions Detection: The goal of AI and ML in sanctions detection is to enhance the decision-making process by providing more context and insights on potential sanctions violations. These technologies analyze large datasets, identify patterns, and offer predictive analytics, thereby enabling more informed and accurate compliance decisions.

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About the experts

Ahmed Drissi

Ahmed Drissi

APAC AML Lead, SAS

Ahmed is an industry Consultant with more than 10 years of experience in the field of compliance, AML and sanctions. 

He started his career in Europe and the Middle East, where he helped financial institutions comply with local regulations, sharing best practices and industry trends.

Ahmed moved to Asia in 2015. Leveraging his experience, he built trusted relationships with major regional financial institutions, providing guidance and international expertise.

Cryptocurrency is one of his passions, and Ahmed focuses on the regulation and technology that can help financial institutions monitor and detect suspicious payments in this space.

Ahmed holds a Master’s degree in e-business project management from the University of Lille (France). He is an ACAMS Certified Anti-Money Laundering Specialist (CAMS) 

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