The lack of AI thinking is far more terrifying than the absence of AI tools. Traditional enterprises face numerous difficulties and pain points when applying AI. For example, they are confused about which of the many products to choose; employees lack training and don’t know how to use it; some are worried about being replaced and don’t want to use it; others doubt the output content and dare not use it. Some enterprise leaders have overinterpreted AI and have a speculative mindset. In a short period of time, it is mainly because the management scenarios in traditional enterprises are complex that it is difficult to apply AI in business scenarios. For instance, a large knowledge document model requires a large amount of accurate data support. Although the implementation effect is quick, the preparatory work takes a long time. To build AI capabilities, traditional enterprises need to enhance their understanding. Organizational capabilities are also crucial. A professional organization should be established to promote AI technology, and a strategy of breaking through in a single scenario and testing the waters with a small incision before promoting it on a larger scale. AI is a combination of advanced technology and innovative thinking. Traditional enterprises need a management transformation that integrates technology and business. Otherwise, AI can easily become a scapegoat.
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