Four AI Superpowers: Where AI Improves Products

When using AI consider its four “superpowers”: content creation, summarization, basic data analysis, and perspective taking.


This content originally appeared on NN/g latest articles and announcements and was authored by Connor Joyce

Summary: When using AI consider its four "superpowers": content creation, summarization, basic data analysis, and perspective taking.



At Pendo’s Pendomonium conference recently, I asked my audience who had AI features on their product’s roadmap. Almost every hand in the room went up. But, based on my experience, I’m guessing many of those AI-powered features are destined to be useless.

Start from the Problem, Not the Technology

Amidst the AI hype, teams fall into a familiar trap of creating solutions in search of a problem. No one needs a half-baked chatbot that clumsily answers questions better suited for an FAQ. Users want solutions that effectively address user needs, regardless of the technology behind them.

Building effective solutions starts with choosing the right tool for the job. Generative AI (genAI) is a powerful tool, but it’s not the only one.



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This content originally appeared on NN/g latest articles and announcements and was authored by Connor Joyce


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