<ul><li>AI adoption and its challenges were explored in this article.</li><li>It is important to provide oversight and common sense when using AI tools, as demonstrated by a company's experience with a virtual assistant AI model.</li><li>The quality of data used for training AI systems is crucial, as illustrated by a logistics company's experience with optimizing delivery routes.</li><li>Garbage data leads to garbage results, so it is important to treat data with care and ensure its quality.</li></ul>

AI Adventures: How to Embrace the Future Without Losing Your Mind

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