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Organizations face a daunting challenge: how to effectively manage, access, and utilize the overwhelming volume of data required to power sophisticated AI systems.
Data silos, increasing complexity, and the demand for real-time access have created significant bottlenecks in AI development.
This is where data layers—the often invisible but critical architectural components of modern AI systems—come into play, revolutionizing how businesses harness their information assets.
