The future of work in Thailand: Digital, distributed, and data-driven
By Rachadapon Prasomsub Thailand stands at a defining moment. The Thailand 4.0 agenda is no longer a policy ambition on paper. It is reshaping how enterprises invest, how factories operate, how services scale, and how talent is attracted, developed, and retained. The country is moving from an economy built on industrial scale to one built […]
How MiA ONE is redefining the HR assistant for Enterprise teams
For more than a decade, HR self-service has meant portals and apps: structured menus, form-based workflows, and the expectation that employees would navigate it all themselves. It worked. But it had limits. MiHCM built MiA ONE on a different premise entirely: that every employee deserves a personal AI agent – one that understands natural language, […]
Workforce Intelligence in the Boardroom: turning people data into strategic decisions
The conversation in boardrooms has changed. Where workforce decisions were once guided by instinct, precedent, and periodic headcount reports, a new discipline is taking hold: workforce intelligence. It is the practice of gathering, analysing, and applying people data to drive decisions at the highest levels of an organisation. This is not simply a technology story; […]
MiHCM and Microsoft: how our Data and AI Solutions Partner status shapes your HR
In April 2025, MiHCM achieved Microsoft Data and AI Solutions Partner status, one of the most rigorous technology credentials in the Microsoft partner ecosystem. Two months later, in June 2025, MiHCM was featured at Microsoft Build 2025 in Kuala Lumpur, showcased as part of Microsoft’s Azure AI Foundry Agent Service. For HR and business leaders evaluating enterprise HR platforms, these are not […]
Strategic workforce planning: AI enabled guide
Strategic workforce planning is a 3–5 year, scenario-driven discipline that ensures an organisation has the right people, skills and structure to meet strategic goals. It bridges business strategy, finance and HR by modelling capacity and capability across plausible futures and recommending actions (hire, redeploy, upskill, outsource) tied to budget constraints and commercial targets. According to […]
11 real-world examples of AI in performance management
This guide presents 11 pragmatic AI performance management examples HR teams can copy: tactical use-cases across goal‑setting, feedback, coaching, review automation, skills detection and wellbeing monitoring. Read with the intent to run short, measurable pilots that show value quickly. Scope: practical, tactical examples across goal‑setting, feedback, coaching, review automation, skills detection and wellbeing monitoring. Why […]
Predictive analytics models for HR and performance
Predictive analytics models: why HR teams should care Predictive analytics models apply statistical and machine‑learning techniques to historical and behavioural HR data to forecast workforce outcomes such as turnover, absenteeism and future performance. This guide shows how predictive analytics models turn attendance, payroll, performance reviews and learning records into probabilities and scores that enable proactive […]
AI in performance management: Pillar guide for HR leaders
AI in performance management has shifted from proof-of-concept experiments to operational capability that speeds decision-making, scales personalised coaching and enables continuous evidence-based feedback. HR teams face pressure to retain high performers, reduce manager overhead and show measurable development outcomes; applied correctly, AI helps achieve these goals by automating low-value work and surfacing timely signals that […]
What candidates really think about AI resume screening – and how employers should respond
Fair hiring in the age of AI: How to reduce bias in resume screening
AI can be a gift to talent acquisition: fewer hours spent on repetitive screening, more consistent shortlists, faster cycle times. But the minute an algorithm starts ranking people, HR inherits a new kind of risk: one that doesn’t show up as a system error. It shows up as patterns: certain groups making it through at […]