{
  "title": "Leveraging Artificial Intelligence and Machine Learning to Enhance Customs Operations",
  "sourceUrl": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/cadsa26-36",
  "canonical": "https://www.imf.org/en/capacity-development/training/icdtc/schedule/sa/2026/cadsa26-36",
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  "summary": "Back to top Qualifications This training event is open only to senior customs and ICT experts from Bangladesh, Bhutan, Cambodia, Fiji, India, Maldives, Mongolia, Nepal, Sri Lanka, and Vietnam, who are working in their respective country's administration.",
  "publishDate": "2026-06-22",
  "sections": [
    {
      "heading": "Event overview and eligibility",
      "content": "- Event title: Leveraging Artificial Intelligence and Machine Learning to Enhance Customs Operations\n- Session No.: SA 26.36\n- Location: New Delhi, India\n- Date: September 14-18, 2026 (1 week)\n- Delivery Method: In-person Training\n- Primary Language: English\n- Qualifications: Open only to senior customs and ICT experts from Bangladesh, Bhutan, Cambodia, Fiji, India, Maldives, Mongolia, Nepal, Sri Lanka, and Vietnam, who are working in their respective country's administration.\n- Target Audience: Senior customs and ICT experts involved in digitalization, technology management, modernization, policy and operations in their country's administration."
    },
    {
      "heading": "Training purpose and strategic focus",
      "content": "- Aim: Support selected Asia-Pacific economies in advancing digital transformation and strengthening data-driven decision making in customs.\n- Strategic emphasis:\n  - Practical pathways for developing and implementing AI strategies in customs operations.\n  - Moving from concept to implementation, including identifying investment priorities and resource requirements across financial, technological, and human dimensions.\n  - Supporting tailored AI strategies that account for uneven AI adoption and gaps in infrastructure, skills, and integration across the region."
    },
    {
      "heading": "Applications, analytical themes, and implementation challenges",
      "content": "- Applications explored:\n  - AI in risk management.\n  - AI in trade facilitation.\n  - AI in compliance.\n- Key implementation challenges addressed:\n  - Data quality.\n  - Interoperability.\n  - Governance frameworks.\n  - Resource constraints (financial, technological, and human)."
    },
    {
      "heading": "Pedagogy and participant engagement",
      "content": "- Learning methods:\n  - Interactive discussions.\n  - Country presentations.\n  - Group exercises.\n- Expected participant outputs:\n  - Exchange of experiences across participating administrations.\n  - Development of actionable roadmaps and implementation plans."
    },
    {
      "heading": "Course objectives and outcomes",
      "content": "- On completion, participants will be able to:\n  - Understand how to design tailored AI strategies from concept to implementation;\n  - Identify pathways for developing and implementing AI strategies in customs operations;\n  - Better understand applications of AI in risk management, trade facilitation, and compliance, and how to approach challenges (e.g., data quality); and\n  - Develop actionable plans to implement AI strategies."
    }
  ],
  "bullets": [
    "Event title: Leveraging Artificial Intelligence and Machine Learning to Enhance Customs Operations",
    "Session No.: SA 26.36",
    "Location: New Delhi, India",
    "Date: September 14-18, 2026 (1 week)",
    "Delivery Method: In-person Training",
    "Primary Language: English",
    "Qualifications: Open only to senior customs and ICT experts from Bangladesh, Bhutan, Cambodia, Fiji, India, Maldives, Mongolia, Nepal, Sri Lanka, and Vietnam, who are working in their respective country's administration.",
    "Target Audience: Senior customs and ICT experts involved in digitalization, technology management, modernization, policy and operations in their country's administration.",
    "Aim: Support selected Asia-Pacific economies in advancing digital transformation and strengthening data-driven decision making in customs.",
    "Strategic emphasis:",
    "Applications explored:",
    "Key implementation challenges addressed:",
    "Learning methods:",
    "Expected participant outputs:",
    "On completion, participants will be able to:"
  ],
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  },
  "generatedAtUtc": "2026-09-29T20:11:24.929Z"
}