Multicountry Observational Study Mission on Productivity Innovation through AI Transformation (AX) 
Date & Training hrs

10-12 November 2025

Training hours: –

Deadline of Enlistment:

on or before 4 September 2025

Training Provider

Asian Productivity Organization,

Venue

face-to-face
Seoul, South Korea

Course Brief Description:

Understand AI transformation (AX) as a strategic initiative to enhance productivity; analyze the best practices in AI integration; explore industry-specific AI applications in the Republic of Korea (ROK); and introduce global insights on AI transformation.

PROGRAM OBJECTIVES

The program seeks to:

  1. Help participants understand AI transformation (AX) as a strategic initiative to enhance productivity;
  2. Analyze the best practices in AI integration;
  3. Explore industry-specific AI applications in the Republic of Korea; and
  4. Introduce global insights on AI transformation.

Two (2) qualified candidates from the Department will be considered by CEST for endorsement to this workshop.

  1. CEST Forms B and C (please see attached template) duly approved by the applicant’s Supervising Undersecretary/Head
  2. Service Record
  3. Certificate of No Pending Administrative and/or Criminal Case
  4. Certificate of No Pending Nomination and Service Obligation (for applicants from the regional / provincial offices)
  5. Accomplished Training Needs and Endorsement by Organization/Company (TNEO) (template attached) with the applicant’s signature

As stated in Item 6.1.2 of Department Order 22-10: Revised CEST Guidelines, participation of employees requires the approval of their Bureau/Office Head and the endorsement of their Supervising Undersecretary/Head.

Applicants who fail to submit all the abovementioned CEST requirements will no longer be accommodated for the program.


TARGET PARTICIPANTS

Target participants include government officials, policymakers, researchers, AI professionals, and consultants / trainers on digital transformation and AI integration. The APO Secretariat may give preference to individuals joining an APO project for the first time. Those who have participated in an APO project within the last two (2) years may receive lower priority.

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