Entrée
When it’s not generating creative content, generative AI is busy generating insights. One may even say that it’s always doing the latter. In many of the automation examples we discussed in the previous chapter, insights were a necessary ingredient (in optimizing social media posts, for example) or the desired output (in the initial research). If AI’s strength is in pattern recognition, and generative AI brings the deep learning-level capability of recognizing complex and indiscernible patterns, then insights have to be its strongest output. Everything else it does is just an application of that strength. In this chapter, we will explore the value levers of these insights and look at measurements and contextuality—two ...
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