Data And Storage At The Center Of The AI Stack

Data and storage technology have become central to artificial intelligence infrastructure, particularly for keeping processors fed with information during AI operations. Enterprise executives have historically underestimated how critical data management is to building effective AI systems, whether for training models or running them. The challenge involves organizing, cleaning, and preparing data from multiple sources and storage locations so that processors can continuously access it at the speeds needed for AI workloads. Without proper data infrastructure, expensive computing hardware cannot deliver business value, making storage systems and data management capabilities as important as the processors themselves.