Reflections written from practice, not theory. On why artificial intelligence projects fail, on the value of external perspective, and on what it really means to automate a process.
The difference between a chatbot and an autonomous agent is the same as between a calculator and an employee. One answers questions; the other manages entire processes.
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Five recurring causes explaining why AI projects end up in the drawer of what could have been. None of them are technical.
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One of the most expensive decisions an organization can make is to operate without an external technical perspective that counterbalances the proposals of the internal team.
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The word «automation» is used to describe very different things. That imprecision is the source of most automation projects that fail.
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