Post by WD

At CNBC Converge Live in Singapore, our CEO Irving Tan shared why AI should fundamentally be understood as a data system—and why that perspective matters even more as the industry shifts toward inferencing. As AI processes and generates more data and insights, we’re entering a far more data-heavy phase—one that puts storage and the broader data architecture at the center of the conversation. “People tend to think of AI as a very compute-focused system. Actually, what is AI? AI is a data system. It consumes data, processes data, generates data and insight, and stores more data,” Irving explains. That shift is critical. Because while compute and memory can be reused, data persists—and compounds. As inferencing scales, the ability to manage, store, and feed that growing body of data efficiently becomes foundational. The future of AI won’t just be built on faster compute—it will be defined by how well we architect and scale the data system behind it. Watch the full session here: https://lnkd.in/e6kaZMPd