How to train AI to work smarter: Proven business processes from Social Media Examiner

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Her experience with artificial intelligence (AI) predates the ChatGPT phenomenon, having worked with early platforms such as Jasper.ai and Copy.ai. However, after witnessing what ChatGPT was dominican republic email list capable of, she explored more deeply how AI could enhance every aspect of business operations. This background gives her unique insights into the current state of AI adoption and implementation.

Although AI technology is developing rapidly, Vandervoort emphasized that we are still in the early stages of the AI ​​transformation. "For people like us, who are in this situation every day, sometimes I forget that there are still people who haven't heard of ChatGPT or haven't had a ChatGPT moment," she explained. Marketers in particular are at the forefront of this technology wave, she noted.

The pace of change in artificial intelligence technology cannot be underestimated. Kate constantly reminds her workshop and webinar participants that the AI ​​landscape they see today is likely to be completely different in 12 months—sometimes even in as little as 12 days. This rapid development makes it imperative for enterprises to develop flexible and adaptable approaches to AI implementation.

Many businesses fail to take full advantage of AI because of fundamental misunderstandings about its implementation. According to vanderVoort, the most common mistake is to have overly simplistic expectations. Many users enter basic AI prompts, receive generic output, and then decide that the AI ​​cannot meet their needs. This surface-level interaction fails to tap into the business-enhancing potential of AI.