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.