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Driving lower barriers, higher returns in industrial AI
The nagging confluence of talent shortages and lackluster upskilling programs can leave organizations with little idea of where to begin to integrate AI, or how. This attention deficit typically leads to sporadic and siloed model development that can grow costly, quickly. While daunting to traditional AI adoption, the problem can downright choke industrial AI development, which demands far more scrutiny. The challenge requires a fresh view, from the inside out. For Hitachi, that meant building a library of AI accelerators for distinct disciplines within distinct industries, rather than bolting AI onto existing processes.