Five Strategies For Integrating AI Into Existing (Human) Workflows

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Peter Evans is the CEO of Xtract One Technologies. Read Peter Evans' full executive profile here.

As anyone with an internet connection knows, artificial intelligence is everywhere right now. You can’t read the news, scroll a social media feed or even review an earnings report without copious references to this nascent but rapidly proliferating technology.

For example, AI analyzes expansive datasets and produces actionable insights pertinent to the user. It can even distill this information into meaningful probabilities, making the mountain of data many companies wade through more insightful and valuable. On the other hand, it’s not good at actually making decisions, which humans excel at when they have the right information.

At the same time, AI innovation always brings unforeseen challenges, including hallucinations, potential biases in decision-making and concerns over privacy and security that can have major business repercussions. For example,after its customer support chatbot gave a customer incorrect information, underscoring the need for businesses to continue to iterate and improve implementation.

Simply put, lazy implementation puts you at risk of losing what makes you unique, including your voice, brand identity and the personal touch that distinguishes your services or products in the market. This can negatively impact the customer experience, diminish your competitive edge and undermine your company’s core values., publishing articles by"fake, AI-generated writers" and using AI-generated content without disclosure, undermining their brand reputation and credibility.

 

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