Data Informs, Humans Decide: Alex Png on Predictive Talent Analytics and Change Readiness

Predictive talent analytics and a human-first tech lens help HR spot early signals and act with agility, trust and transparency. Alex Png shares a 90-day playbook and guardrails.

Categorized in: AI News Human Resources
Published on: Feb 24, 2026
Data Informs, Humans Decide: Alex Png on Predictive Talent Analytics and Change Readiness

Foresight, empathy, and agility: How predictive talent analytics and human-centric tech help HR lead through uncertainty

Technology is moving faster than policies, and AI is now part of everyday HR work. For Alex Png, Chief People Officer (APAC) at The Hoffman Agency, the impact that matters most sits in predictive talent analytics - and in choosing to humanise technology at every turn.

His stance is simple: see the signals others miss, treat agility like a core skill, and build tools around trust and transparency. Do that, and HR doesn't just keep up - it creates organisations that are efficient, resilient, and inspired.

See beyond snapshots with predictive talent analytics

Performance reviews show the past. Predictive talent analytics helps you spot what's coming next - early indicators of capability, engagement, and retention that often slip through the cracks. With those signals, HR can design experiences that are data-driven and deeply personal.

What this looks like in practice:

  • Blend data sources: project work, skills growth, manager feedback, internal mobility, wellbeing patterns (e.g., workload spikes tied to attrition).
  • Track leading indicators: skill velocity, cross-team collaboration, recognition density, time to learning adoption, sentiment trends.
  • Close the loop: turn insights into action - targeted coaching, micro-upskilling, role redesign, and proactive retention stories.

If you're building your foundation, this factsheet is a solid primer on people analytics principles: CIPD: People analytics.

From change management to change readiness

Change management treats shifts as events to control. Change readiness treats them as conditions to train for. Png's approach: model comfort with uncertainty, reward curiosity over perfection, and show that learning counts as progress - not failure.

  • Leaders go first: say "I don't know" when it's true, share what you're testing, and celebrate thoughtful experiments.
  • Make learning visible: track and recognise useful attempts, not just flawless outcomes.
  • Build agility as a skill: short cycles, fast feedback, regular retros that turn lessons into new norms.

Once teams internalise that learning is progress, transformation turns into a shared sport - not a stress test.

Humanise technology with trust and transparency

AI should deepen insight without diluting humanity. Png puts it plainly: Data informs, but humans decide. Before big calls, step away from dashboards to reconnect with context and empathy. Every number is someone's story.

Use this audit lens for every tool, process, and metric:

  • Meaning: Does this make work feel more purposeful for employees and managers?
  • Equity: Are outcomes fair across groups? Are we running bias checks and acting on them?
  • Transparency: Can people see what data is used, why, and how decisions get made?
  • Choice: Do employees have clear opt-ins/opt-outs where feasible?
  • Oversight: Are humans accountable for final decisions, with clear escalation paths?

For a practical framework on risk and governance, review the NIST AI Risk Management Framework.

A 90-day HR playbook to get moving

  • Days 0-30: Define 3 workforce questions where foresight matters (e.g., early attrition, skills gaps for 2026, manager burnout). Map current data sources and access. Stand up a small cross-functional squad (HR, IT, Legal, Ops).
  • Days 31-60: Build signal dashboards for one priority use case. Add fairness and explainability checks. Pilot one human-centred intervention (e.g., skills sprints, manager coaching) tied to the insights.
  • Days 61-90: Publish a plain-language "how this works" note for employees. Measure impact (leading indicators, not just lagging KPIs). Decide what to scale, pause, or fix - and communicate the why.

What to take to your next leadership meeting

  • One page on the three signals that predict a critical outcome in your org (capability, engagement, retention).
  • A short list of tech tools to audit against meaning, equity, and transparency - with owners and dates.
  • A commitment to reward curiosity over perfection in the next quarter's objectives.

Meet Alex Png at InteracTech Asia 2026

At HRO's #InteracTechAsia2026 on 20 May in Singapore, Png will dig into how predictive talent analytics and a human-first tech lens help leaders act with foresight and empathy. Expect clear examples, practical guardrails, and a challenge: don't just digitise HR - humanise technology.

Want a structured way to build this capability at the leadership level? Explore the AI Learning Path for CHROs.


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)