In this episode of Let’s Talk Evolution, we explore what it really takes to build an AI and data team from scratch in non-tech industries. Joined by Thet Twe Aung, CTO of Care, we break down the practical decisions leaders must make when moving from AI curiosity to real implementation.

With nearly two decades of experience scaling technology organizations across fintech, healthcare, e-commerce, and regulated enterprises in Asia, Thet shares a grounded framework for AI adoption. The conversation covers organizational readiness, hiring versus upskilling, data foundations, and why stability should come before speed when building production-grade AI systems.

We also unpack common misconceptions about AI, including the myth of human-like intelligence and the risks of overusing AI for problems that simpler tools can solve. Thet explains why AI works best as an augmentation tool supported by human oversight, strong domain expertise, and clear success metrics. In healthcare and other domain-driven sectors, the combination of technical capability and contextual knowledge becomes especially critical.

If you are a leader wondering where to start with AI, who to hire first, or how to avoid costly hype-driven mistakes, this episode offers a clear and practical roadmap for building sustainable AI capabilities that create long-term value.