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Beyond the Hype: When Generative AI Isn’t Always the Answer | by JL Marechaux | Oct, 2024


Why predictive AI might still be your best bet

Towards Data Science

Photo by Maria Lupan on Unsplash

I work at Google in the Solution & Thought Leadership team (aka S&TL). Our role is to help large companies adopt AI technologies to boost their performance and innovate. In the past three years, I have been collaborating with different AI teams and decision makers across North America to build and test custom AI models for specific business needs.

In 2024, I have noticed a significant change in my interactions with corporate stakeholders. They all want to use Generative AI to solve their business problems.

For some of these clients, if I ask them why Generative AI, they usually look back at me intrigued. They do not fully get the question. For some others, they mention a strategic objective identified by the board or a C-level executive. But more often than not, Generative AI is not the best answer to address their business priorities.

When Open AI released ChatGPT 3.5 in November 2022, millions of people all over the world started to play with this intriguing new tool. My neighbor, the guy at the grocery store, my uncle and my little niece. AI users were everywhere and on every lips.



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