Generative AI doesn’t suit every problem. Use these guidelines to decide between predictive AI — machine learning and deep learning tools — and generative AI.
THE ANALYTICS LANDSCAPE has evolved significantly during the past decade. Many organizations have progressed from basic statistical modeling to machine learning, and some have added deep learning to their toolkits as well. In this context, the emergence of generative AI — with its ability to create humanlike text, generate images, and write code — introduces new possibilities and new questions.
While generative AI promises to revolutionize everything from customer service to product development, its optimal role alongside predictive AI tools (that is, machine learning and deep learning tools) remains a work in progress. That often leaves leaders asking what the right approach is for addressing a particular problem. This article presents a set of guidelines to help leaders and organizations navigate this tricky and crucial decision.
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