Businesses today face a growing challenge: they are generating more data than ever before, yet struggle to make sense of it in a way that drives consistent, effective decision-making. Traditional analytics tools tend to focus on specific functions, leaving teams operating in silos with little understanding of how their choices affect the broader organization. While being “data-driven” was once considered a competitive advantage, it has become a vague and often unhelpful term.

In this episode of the Asia Tech Podcast, Karen Kim, CEO of Human Managed, argues that being "data-driven" is no longer enough. Businesses aren’t suffering from a lack of information—they’re suffering from too much of it, without a clear way to turn that data into meaningful action.

Some of the topics that Karen covered in detail include:

Decision Intelligence isn’t just about better decisions—it’s about decisions at scale.
Karen introduced the idea of composite AI, where multiple AI tools and models—LLMs, agents, deep learning systems—are combined to build richer, more nuanced workflows.
The problem is not access to tools—it’s connecting data to outcomes.
The shift from data-driven to decision-centric.
Service design will be the next frontier in AI.

Thinkerview

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