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He highlights that while traditional AI often relies on straightforward algorithms, generative AI — especially large models like GPTs — demands careful use case selection. The process begins with assessing data quality, availability, and how well the data supports the targeted use case. Importantly, success hinges on collaboration between business leaders, data teams, and technology specialists to determine the best approach and avoid technology for technology’s sake.
Step-by-Step Framework for Pinpointing Suitable Use Cases
To identify the most promising generative AI applications, Chandra advocates a structured methodology encompassing several key steps: