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Enterprise has no idea what to do with generative AI. This means it’s early days, and not that AI is a bubble (pivot-to-ai.com)

submitted 2 weeks ago by [email protected] to c/[email protected]

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[–] [email protected] 29 points 2 weeks ago (1 children)

Another highlight from the actual report is a massive increase in attempts to build AI in-house rather than buy, which highlights existing systems' inability to generate value. We can't find any use case for Clippy 2.0 as part of our existing software but, but the investors (and my bosses) might get spooked if we don't sound like we're on the cutting edge of this tech that everyone says is revolutionary. In the context of 70-90% of software projects failing in whole or in part I can only expect this to go well.

[–] [email protected] 26 points 2 weeks ago (1 children)

I've also been involved with projects that were retro-activly renamed to AI. Implemented a new oldskool search algorithm? That's AI now! Simple decision tree with static weights? AI!

Nobody wants investors or customers to think you're doing a bad job not putting AI in stuff, even if it doesn't really help or isn't a use case for anything related to AI.

[–] [email protected] 24 points 2 weeks ago

To be fair, simple decision trees with static weights used to be AI. Look, I learned how to do A* search from an AI textbook. AI is just algorithms with delusions.