The article "Cognitive Enterprise: Brain-Inspired AI for Business Advantage," by Dr. Jerry A. Smith, argues for a paradigm shift in enterprise AI from traditional, siloed systems to brain-inspired AI agents powered by knowledge graphs. It explains that, unlike current AI that processes data like "sophisticated spreadsheets," this new approach enables machines to reason with interconnected information through networks of meaning, mimicking how the human brain functions. The author highlights the competitive imperative for businesses to adopt this "neurosymbolic" AI, which combines neural networks' pattern recognition with symbolic reasoning, offering advantages in speed, insight quality, scalability, and transparency. The text further outlines a four-stage roadmap for organizations to transition to a "cognitive enterprise," emphasizing the construction of knowledge graphs, modular agent development, intelligent scaling, and ultimately, enterprise-wide transformation for sustained competitive advantage.

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