One of the biggest challenges to adopting integrated border management strategies is identifying, collecting, and verifying all available data for use in risk assessment and management at the border in an expeditious manner. This information exists in many sources and legacy systems, often siloed across border security organizations, and can’t always be meaningfully resolved to an identity, especially when multiple languages are involved.
This webinar brings together border security and artificial intelligence (AI) experts to explore best practices for integrated border management, with a specific focus on the use of AI and publicly and commercially available information sources to detect and prevent cross-border crime.
In this webinar you'll learn:
- How AI can improve the effectiveness of border management systems in a myriad of ways, such as by increasing the accuracy of name matching, resolving collected information to the correct identity, extracting entities, and more
- The benefits of fusing publicly and commercially available information sources with government holdings across agencies to reduce risk and increase analytical capabilities
- The key factors to consider when implementing these technologies in their own border management operations