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This program was exclusively designed to meet the specific needs of AEI, aiming to foster a comprehensive digital-transformation mindset and integrate AI technologies into research, management, and data-analysis activities within the field of agricultural economics.
Program Objectives and Significance
The training course focused on addressing the practical challenges AEI is currently concerned with: how to apply emerging technologies to improve work efficiency, support decision-making, and generate new value in scientific research and agricultural-sector management.Through this program, IDT aims to:
Equip AEI’s leadership with a modern digital-transformation mindset to support long-term strategic planning aligned with innovation trends in the sector.
Provide proficiency in AI tools that can be directly applied to research, analysis, data synthesis, and reporting tasks.
Optimize workflows to save time, increase accuracy, and enhance operational effectiveness.
Orient the development of AI-application models in agriculture, particularly in forecasting, market analysis, economic modeling, and sectoral data management.
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| Images from the 1-on-1 Training Program for AEI at the Institute for Digital Transformation Research and Application (IDT) |
Specialized Training Content – Closely Aligned with the Realities of the Agricultural Sector
Throughout the 1-on-1 training program, the participant engaged with and practiced the following key topics:
1. Digital Transformation Mindset in the Agricultural Sector
Digital transformation competency framework for state research organizations.
Methods for identifying problems and designing digital solutions.
A 360-degree digital transformation model suitable for sectoral research institutions.
2. AI Applications in Data Analysis and Processing
Techniques for using AI to synthesize documents and generate rapid reports.
Automating data analysis, charts, and indicator systems for research purposes.
Specialized AI tools supporting forecasting and agricultural trend analysis.
3. Developing Intelligent Workflows
Applying AI to administrative management, documentation, and task assignment.
Optimizing information-processing steps and reducing repetitive workloads.
Guidance on building tailored optimized workflows based on AEI’s specific needs.
4. Practicing Real-World Case Studies
Using AI to analyze simulated datasets in agricultural economics.
Creating sample thematic reports to support research activities.
Instruction on how to apply learned tools immediately in daily work after training.
Positive Evaluation from AEI Leadership
The training program received highly positive feedback from the leadership of the Institute of Agricultural Economics and Institutions (AEI). Participants particularly appreciated:
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| Feedback from AEI Participants |
Strong applicability to the organization’s real-world work.
Clear, intuitive instruction with sector-specific examples.
High relevance and timeliness as AI is increasingly influencing research and agricultural management.
The 1-on-1 format enabled direct solutions to AEI’s specific challenges and needs.
These comments serve as motivation for IDT to continue developing specialized training programs for institutes, universities, government agencies, and enterprises.
Commitment to Supporting AEI in Its Digital Transformation Journey
The IDT Institute extends its sincere appreciation to the leadership of AEI for their trust, collaboration, and active participation throughout the training program. We remain committed to supporting AEI in:
Applying AI to research activities and agricultural data analysis.
Developing a suitable digital transformation model for research institutions.
Building human-resource capacity to meet the digital transformation requirements of the agricultural sector.
IDT firmly believes that, with the foundational mindset and technological tools acquired, AEI will continue to make significant contributions to research, policy development, and the modernization and sustainable growth of Vietnam’s agricultural economy.
