Bridging the operational AI gap
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The article highlights the increasing adoption of agentic AI in enterprises, which promises enhanced automation and autonomous decision-making capabilities. However, despite significant investments and experimentation, many organizations face challenges in scaling AI from pilot projects to full operational deployment due to issues related to data integration, system stability, and governance frameworks. A key insight from a survey of 500 senior IT leaders reveals that successful enterprise AI implementation hinges on establishing a robust operational foundation that seamlessly integrates data, applications, and systems. Without this holistic approach, Gartner predicts that over 40% of agentic AI projects will be canceled by 2027 due
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