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When AI was first launched, it was perceived as a technology that could revolutionize business models by creating a full understanding of a clients’ profile and their needs. It would be a must-have technology for large businesses to boost their balances and a magic tool for small business owners to remove barriers between their product or service and the final user — using the right data, of course.At first, AI appeared to be something that could almost “magically” make perfect predictions about the success or failure of any product just by analyzing different consumers’ profiles and their purchasing behaviors. Startups imagined a world where market traction could be reached simply by running a Python script, rather than optimizing a minimum viable product.Financial investors have welcomed AI as the beginning of a new financial cycle pumping large amounts of money at any stock labeled AI-based. The “dot-com era” that started in the 90s — and with it, the stock market crash due to excessive speculation — seemed to be replaced by the “AI-era.” Images of humans resting while robots worked on their behalf were the collective image of how this new …
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