What is AI? Understanding Generative AI, Agentic AI, and Applications in Thai Industries 2025
By Dr. Kobkrit Viriyayudhakorn, CEO & Founder, iApp Technology
In an era of rapid technological change, the term "AI" or "Artificial Intelligence" has become ubiquitous. But many people are still confused about what AI actually is. And what do newer terms like Generative AI, Agentic AI, or AI Agent really mean?
This article will explain everything from the basics, along with real-world examples of applications in Thailand's key industries: Manufacturing, Healthcare, Tourism, and Agriculture in 2025.
What is AI? (Artificial Intelligence)
AI or Artificial Intelligence is technology that enables computers or machines to "think" and "make decisions" similar to humans.
How Does AI Work?
AI learns from large amounts of data (Big Data) through a process called Machine Learning. Here's how it works:
- Input: AI receives data such as images, audio, text, or numbers
- Processing: Analyzes data through trained algorithms
- Decision: Provides results or answers based on what it learned
- Learning: Improves accuracy from received feedback
Types of AI
AI can be divided into 3 main levels:
| Level | Name | Capability | Examples |
|---|---|---|---|
| 1 | Narrow AI (Specialized AI) | Excels at specific tasks | OCR reading ID cards, recommendation systems |
| 2 | General AI (AGI) | Can perform various tasks like humans | Still in development |
| 3 | Super AI (ASI) | Smarter than humans in all aspects | Still theoretical |
Currently, most AI we use is Narrow AI that excels at specific tasks such as facial recognition, language translation, or data analysis.
What is Generative AI?
Generative AI is AI that can "create" new content, whether it's text, images, audio, video, or even programming code.
Difference Between Traditional AI and Generative AI
| Traditional AI | Generative AI |
|---|---|
| Analyzes and classifies data | Creates new content |
| Answers questions from existing data | Writes entirely new content |
| Predicts outcomes | Creates things that never existed before |
| Example: Spam filter | Example: ChatGPT, DALL-E, Midjourney |
Popular Generative AI Examples
- ChatGPT / Claude / Gemini: Generate text, answer questions, write articles
- DALL-E / Midjourney / Stable Diffusion: Create images from descriptions
- GitHub Copilot: Write code automatically
- Suno / Udio: Create music and songs
- Runway / Sora: Generate videos from text
Generative AI in Thailand
iApp Technology has developed Chinda LLM, a Generative AI specifically designed for Thai language, capable of:
- Understanding Thai context and culture
- Answering questions in natural Thai
- Supporting industry-specific terminology
What is Agentic AI?
Agentic AI is a new form of AI that can "work independently" without requiring human commands at every step.
Difference Between Regular AI and Agentic AI
| Regular AI | Agentic AI |
|---|---|
| Waits for human commands | Plans and works autonomously |
| Works step by step | Executes multiple continuous steps |
| Single question, single answer | Solves complex multi-layered problems |
| Cannot use other tools | Can utilize various tools |
Key Characteristics of Agentic AI
- Planning: Breaks large tasks into smaller subtasks
- Tool Use: Calls APIs, searches data, performs calculations
- Decision Making: Chooses the best approach independently
- Self-Correction: Checks and fixes errors
- Learning: Improves from feedback
Example of Agentic AI in Real Work
Suppose you ask Agentic AI to "analyze last quarter's sales and suggest strategies to increase revenue":
Regular AI: "Please send me the sales data for analysis"
Agentic AI:
- Accesses the sales database and retrieves data independently
- Analyzes trends and patterns
- Compares with market data
- Researches competitor information
- Creates a report with graphs
- Proposes 5 strategies with projected outcomes
What is an AI Agent?
AI Agent is an AI program that acts as an "agent" to work on behalf of humans. It can:
- Receive goals or missions
- Plan its own work
- Execute according to plan
- Adapt when encountering problems
- Report results upon completion
Relationship Between Agentic AI and AI Agent
- Agentic AI = The concept or capability of AI working autonomously
- AI Agent = The actual program or system with Agentic AI capabilities
Simply put, AI Agent is the product created from the Agentic AI concept.
Types of AI Agents
| Type | Function | Example |
|---|---|---|
| Customer Service Agent | Customer support | 24/7 Q&A Chatbot |
| Research Agent | Data research | Market insight discovery |
| Coding Agent | Programming | Code generation and debugging |
| Data Analysis Agent | Data analysis | Automated report summarization |
| Automation Agent | Task automation | Managing repetitive workflows |
AI Applications in Thai Industries 2025
Thailand aims to become the AI Hub of ASEAN by 2030, with the government allocating 25 billion baht for AI infrastructure. Let's explore how each industry will use AI in 2025.
1. AI in Manufacturing
Thailand's manufacturing industry accounts for 27% of GDP and is entering the Industry 4.0 era where AI is the key driver.
AI Applications in Factories
1.1 Automated Quality Control
AI can inspect products faster and more accurately than humans:
- Computer Vision detects defects on workpieces
- Inspects 1,000+ pieces per minute
- 99.5% accuracy, reducing defects by 30-50%
Real Example: An electronics components factory in Amata Industrial Estate uses AI to inspect circuit boards, reducing defect rates from 2.5% to 0.3%.
1.2 Predictive Maintenance
AI analyzes sensor data to predict when machines will fail:
- Reduces unexpected downtime by 70%
- Cuts maintenance costs by 25%
- Extends machine lifespan by 20%
1.3 Smart Production Planning
AI Agents can:
- Analyze orders and forecast demand
- Schedule production optimally
- Adjust plans automatically when changes occur
- Order raw materials automatically
1.4 Intelligent Robotics
Generative AI helps robots:
- Understand human language commands
- Adapt to new tasks faster
- Work safely alongside humans (Cobots)
Expected ROI in Manufacturing
| Application | Cost Reduction | Payback Period |
|---|---|---|
| Quality Control | 30-50% defect reduction | 6-12 months |
| Predictive Maintenance | 25% maintenance costs | 12-18 months |
| Smart Planning | 15% inventory costs | 8-14 months |
2. AI in Healthcare
Thailand aims to become the Medical Hub of Asia, and AI will be a key driver.
AI Applications in Hospitals
2.1 AI-Assisted Diagnosis
AI helps doctors analyze:
- X-ray and CT Scans: Detects lung cancer 30% faster
- Retina Images: Screens for diabetic retinopathy
- Blood Tests: Predicts heart disease risk
- Skin Images: Detects early-stage skin cancer
2.2 Automated Medical Records
Generative AI helps:
- Convert doctor's voice to treatment records (Speech-to-Text)
- Summarize patient history automatically
- Generate prescriptions from diagnoses
- Reduce doctors' paperwork time by 40%
2.3 AI Chatbot for Patient Screening
AI Agents can:
- Inquire about initial symptoms 24/7
- Assess urgency levels
- Recommend appropriate departments
- Schedule appointments automatically
Real Example: Ramathibodi Hospital uses AI Chatbot for patient screening, reducing average wait time from 45 minutes to 15 minutes.
2.4 Drug Discovery
AI accelerates drug development:
- Analyzes molecular structures
- Predicts side effects
- Designs clinical trials
- Reduces development time from 10 years to 3-5 years
2.5 Elderly Care
As Thailand enters an aging society, AI helps:
- Monitor health through wearable devices
- Alert when abnormalities occur
- Remind medication schedules
- Detect falls automatically
Expected ROI in Healthcare
| Application | Benefit | Impact |
|---|---|---|
| AI Diagnosis | 30% faster disease detection | Reduced mortality rates |
| Auto Documentation | 40% less paperwork time | More time for patient care |
| AI Chatbot | 60% shorter wait times | Higher patient satisfaction |
3. AI in Tourism
Tourism accounts for 12% of Thailand's GDP, and AI will enhance experiences for both Thai and international tourists.
AI Applications in Tourism Business
3.1 Personalized Travel Recommendations
Generative AI analyzes tourist preferences to:
- Recommend matching attractions
- Plan routes automatically
- Suggest restaurants based on preferences
- Book accommodations and tickets at the best prices
3.2 Multilingual AI Concierge
AI Agents serve as receptionists:
- Communicate in over 50 languages
- Answer questions about tourist attractions
- Book restaurants and tours
- Solve immediate problems for tourists
Example: Hotels in Phuket use AI Concierge to serve Chinese, Russian, and Indian tourists, increasing satisfaction by 40%.
3.3 Intelligent Dynamic Pricing
AI analyzes multiple factors to determine optimal pricing:
- Real-time market demand
- Weather conditions
- Festivals and holidays
- Competitor prices
- Increases revenue by 15-25% on average
3.4 Review Analysis and Sentiment
Generative AI helps tourism businesses:
- Summarize reviews from multiple platforms
- Analyze customer sentiment
- Identify areas for improvement
- Respond to reviews automatically
3.5 Virtual Tours and AR Experiences
- Virtual Reality Tours: View locations before deciding to travel
- AR Guide: Real-time location information via mobile
- AI Photo Enhancement: Automatic photo editing
Expected ROI in Tourism
| Application | Benefit | Impact |
|---|---|---|
| AI Concierge | 30% staff cost reduction | 24/7 multilingual service |
| Dynamic Pricing | 15-25% revenue increase | Higher booking rates |
| Personalization | 40% satisfaction increase | Repeat customers |
4. AI in Agriculture
Thailand's agricultural sector employs 12 million workers and faces challenges from climate change, labor shortages, and demands for increased production.
AI Applications in Smart Farms
4.1 Soil and Crop Analysis
AI analyzes from:
- Satellite Imagery: Monitors crop health across large areas
- Drones: Surveys plantations in detail
- Soil Sensors: Measures moisture, nutrients, pH
Result: Increases yield by 20-30%, reduces fertilizer use by 25%
4.2 Forecasting and Early Warning
AI Agents monitor and alert:
- Plant diseases and pests
- Weather conditions affecting production
- Optimal harvest timing
- Market prices for sales planning
4.3 Smart Irrigation
AI controls automatic irrigation:
- Analyzes plant water requirements
- Considers weather conditions
- Waters only where needed (Precision Irrigation)
- Reduces water usage by 30-50%
Real Example: Durian orchards in Chanthaburi use AI-controlled irrigation, improving fruit quality and reducing costs by 35%.
4.4 Agricultural Robots
AI-powered robots:
- Fruit Harvesting: Selects only ripe fruits
- Weed Control: Targeted spraying
- Pruning: Works 24 hours a day
4.5 Yield and Price Forecasting
Generative AI helps farmers:
- Predict yields 3-6 months ahead
- Analyze market price trends
- Recommend optimal selling periods
- Plan next planting cycles
4.6 Traceability
AI + Blockchain builds trust:
- Tracks products from farm to consumer
- Certifies Organic/GAP standards
- Increases agricultural product value
Expected ROI in Agriculture
| Application | Benefit | Impact |
|---|---|---|
| Crop Analysis | 20-30% yield increase | Reduced risk |
| Smart Irrigation | 30-50% water reduction | Lower costs |
| Price Prediction | 15-20% profit increase | Better planning |
How to Start Using AI in Your Organization
Step 1: Assess Readiness
- Identify problems to solve
- Evaluate existing data
- Set budget
- Prepare team
Step 2: Start with High-ROI Use Cases
Recommended starting points:
- Document Processing: OCR for documents, reducing data entry
- Customer Service Chatbot: 24/7 customer support
- Data Analytics: Analyze data for insights
Step 3: Choose the Right Partner
Look for providers who:
- Have experience in your industry
- Support Thai language
- Have easy-to-use APIs
- Offer local support
Step 4: Measure and Scale
- Define clear KPIs
- Measure continuously
- Expand to other use cases
iApp Technology: Your AI Partner for Thai Business
iApp Technology is Thailand's leading AI company, serving over 50 million API calls to more than 100 organizations.
Our AI Services
| Service | Description |
|---|---|
| Thai OCR | Read Thai documents, ID cards, driver's licenses |
| E-KYC | Face verification identity |
| Speech-to-Text | Convert speech to text |
| Text-to-Speech | Convert text to speech |
| Chinda LLM | Thai AI for chatbots |
| Thanoy Legal AI | AI for legal work |
Why Choose iApp?
- Understands Thai Context: Developed by Thais, understands Thai business needs
- Ready-to-Use APIs: Start immediately without waiting
- Reasonable Pricing: Pay only for actual usage
- International Standards: ISO 29110, iBeta PAD Level 1 & 2
Summary
AI is technology that's changing the business world, from Generative AI that creates new content, to Agentic AI and AI Agents that work autonomously like an employee.
For Thai businesses in 2025:
- Manufacturing: Use AI for quality inspection, predictive maintenance
- Healthcare: Use AI for diagnosis assistance, reducing paperwork
- Tourism: Use AI for personalized experiences, multilingual service
- Agriculture: Use AI to increase yields, reduce costs
The question is not "whether to use AI" but "when and how to start using AI."
Businesses that strategically adopt AI starting today will become industry leaders in the near future.
About the Author
Dr. Kobkrit Viriyayudhakorn is the CEO and Founder of iApp Technology, Thailand's leading AI company. With over 15 years of experience in artificial intelligence and natural language processing, Dr. Kobkrit holds a Ph.D. in Computer Science and is a frequent speaker on AI trends and enterprise transformation for both government and private organizations.
References
- Ministry of Digital Economy and Society, "National AI Action Plan 2022-2027"
- National Science and Technology Development Agency (NSTDA), "AI Thailand 2025 Report"
- Access Partnership, "Thailand's AI Economy: Opportunities and Challenges", 2025
- McKinsey & Company, "The State of AI in 2025"
- Gartner, "Top Strategic Technology Trends 2025"
- Federation of Thai Industries, "Industry 4.0 Readiness Report 2025"