Empowering Women in AI: Reflections from the Singlife ML-MLOPS Accelerator

Today I had the pleasure of hosting a wonderful group of women from Singlife for the third session of our AI ML-MLOPS Accelerator training. 💡 The energy in the room was electric - questions flying, ideas connecting, hands-on problem-solving in real time. Moments like these remind me why diversity of perspective isn't just a nice-to-have - it's critical for effective AI.

Why Diversity in AI Is Essential

As we all know, the perspectives we bring to AI shape the systems we build. Prioritizing diversity isn't about checking a box - it's about building technology that works for everyone.

I believe that empowering women and unlocking their potential in AI will help us overcome one of the biggest challenges of this technology: ensuring it serves all of humanity, not just a narrow slice of it.

The numbers tell part of the story. Women make up 28% of AI professionals in Singapore, slightly above the global average of 26%. Even more encouraging: female enrolment in GenAI courses surged 253% in 2024. That momentum matters. It signals a shift - more women are claiming their seat at the table where AI's future is being designed.

But numbers alone don't build better systems. It's the lived experiences, the questions asked, the edge cases considered, the values embedded - that's where diverse teams create AI that truly serves.

Professional Development That Matters

It's great to see businesses in Singapore providing professional development opportunities for women interested in AI. These aren't token gestures - they're real investments in building the diverse technical leadership we need.

Singapore is creating an ecosystem that supports women in tech at multiple levels. SG Women in Tech (SGWIT), an initiative by IMDA, celebrated its 5th anniversary in 2024 and partnered with NTUC LearningHub to launch a Relaunch programme helping women re-enter the tech workforce. And the entrepreneurial side is thriving too - Singapore leads Southeast Asia with 936 women-owned startups, ahead of all other major SEA cities.

The energy and curiosity in the room today was inspiring. When we create space for different voices, we create better AI. When we invest in upskilling and hands-on learning - not just theory, but real ML-MLOPS practice - we're building the foundation for AI that reflects the full spectrum of human experience.

Building AI Centers of Excellence

This work sits within a broader commitment to scaling AI capability across Singapore. AWS and Digital Industry Singapore (DISG) launched AI Springboard in June 2025, aiming to support 300 Singapore-based enterprises to scale AI over 12 months.

Programs like the Singlife ML-MLOPS Accelerator are part of that vision - equipping teams with the technical depth and architectural thinking to build production-grade AI systems. And when those teams reflect diverse perspectives, the AI they build is more robust, more thoughtful, more human.

Gratitude for the Team 🙏

None of this happens without incredible colleagues who share the vision. I want to express my gratitude to:

• 🔹 Indrajit Ghosalkar and Benjamin Fheng for co-leading the training with expertise and care
• 🔹 Sid Bhandari for his advocacy and commitment to this work
• 🔹 Samuel Chu, Romil Sharma, Sam Simopoulos, Yean Ping Yar, Priscilla Chong, Michelle Toh, Andrew Mulligan, and Joel H. Garcia for the leadership guidance and support that makes these opportunities possible

When we invest in people, we invest in better AI. When we prioritize diverse perspectives, we build technology that truly serves. The path forward isn't just about more AI - it's about more voices shaping that AI. More to come. ✨

#AlwaysDay1 #WomenInTech #AI #DiversityInAI #MachineLearning #Singapore