How Thai SMEs Can Reduce Marketing Costs with Generative AI
Learn how Thai SMEs cut SNS & EC content costs with generative AI. Practical steps for creating images, videos & text for LINE & TikTok.
AI & Machine Learning
From model selection to real-world deployment: choosing between prediction, classification, and generation, preparing data, and evaluating accuracy.
AllAI & Machine Learning(23)LLM Operations & RAG(36)AI Agents(41)DX(23)Cybersecurity(20)Sales & Lead Generation(5)PoC Development(2)Developer Tools(6)Thailand Business(22)
AI Observability for Startups: 3 Key Metrics to Monitor First
AI Observability guide for startups: the 3 key metrics to monitor first under resource constraints, minimal tool setup, and a phased scaling roadmap with implementation examples.
AI Automation Bias: Causes and 3-Layer Countermeasures
What AI automation bias is, typical failure scenarios, and countermeasures across organization, design and operations: confidence display, HITL and audit logs.
What is Inference-Time Scaling? How to Optimize the Trade-off Between AI Inference Cost and Accuracy
Learn how Test-Time Compute scaling works and how to optimize the tradeoff between inference cost and accuracy. A practical guide to LLM operations and cost design in the age of reasoning models.
What is Edge AI? How On-Device LLMs Work and How to Choose One for Business
Learn the basics of edge AI & on-device LLMs, and how to design workflows requiring low latency, data privacy, or unstable connectivity—where cloud LLMs fall short.
Local LLM / SLM Deployment Comparison — AI Utilization Without Cloud API Dependency
Compare open-weight models like GPT OSS, Phi-4, and Llama 4 Scout against cloud APIs on GPU requirements, task accuracy, and TCO. A local AI deployment guide for data sovereignty and cost optimization.
AI Consulting in Bangkok: How to Choose a Partner in Thailand
Why Bangkok is a growing AI consulting hub, common AI challenges in Thailand, how to compare global, local and hybrid firms, plus an ERP transformation case study.
PEFT Explained: LoRA, QLoRA and Adapters for Low-Cost Tuning
PEFT explained for decision-makers: how LoRA, QLoRA and adapters cut AI model customization costs, common mistakes, industry use cases and investment insights.
AI Governance for Small Teams: Scalable AI Governance for Small and Medium-Sized Businesses
Lightweight AI governance frameworks & checklists for SMEs and startups to practically adopt enterprise-grade AI standards—even with limited resources.
How Thailand's Food & Restaurant Industry Can Start Using AI for Demand Forecasting, Shift Optimization, and Food Waste Reduction
Discover how Thai restaurant owners can use AI to forecast customer demand, optimize staff scheduling, reduce food waste, and streamline orders. Real-world steps & case studies.
What Is Shadow AI Auditing? How to Detect and Manage Unauthorized AI Tools Used Within Your Organization
Detect shadow AI (ChatGPT, Gemini) used without approval, and learn the audit process covering risk assessment, policy development, and PDPA compliance.
Introduction to Fine-Tuning — The Fundamentals and Decision Criteria B2B Companies Should Know Before Building Their Own LLM
Learn how fine-tuning works from the basics. Covers PEFT/LoRA, when to use RAG, cost estimates, and a checklist for B2B companies evaluating custom model development.
