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Research shows more than 80% of AI projects fail, wasting billions of dollars in capital and resources: Report (www.tomshardware.com)

submitted 3 months ago by [email protected] to c/[email protected]

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RAND Report - The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed

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[–] [email protected] 21 points 3 months ago* (last edited 3 months ago) (3 children)

Not to derail, but may I ask how did you become an AI Engineer? I'm a software dev by trade, but it feels like a hard field to get into even if I start training for the AI part of it, because I'd need the data to practice =(

But it's such a big buzz word I feel like I need to start looking that direction if i want to stay employed.

[–] [email protected] 19 points 3 months ago

if I want to stay employed

I think this is a little paranoid. Somebody has to handle the production models - deploying them to servers, maintaining the servers, developing the APIs and front ends that provide access to the models… I don’t think software dev jobs are going anywhere

[–] [email protected] 5 points 3 months ago* (last edited 3 months ago) (1 children)

For me it helps to have a project. I learned SciKit in order to analyze trading data to beat the "market". I was focusing on crypto but there's lots of trading data available in general. Unsurprisingly I didn't make any money, but it was fun to learn more about data processing, statistics, and modeling with functions.

(FWIW I'm crypto-neutral depending on the topic and anti-"AI" because it doesn't exist.)

[–] [email protected] 3 points 3 months ago

Ha ha I got into genetic algorithms for the same reason, market prediction. Ended up exactly at zero in terms of net gains and losses - if you don't count commissions, anyway. :(

[–] [email protected] 4 points 3 months ago

Kaggle has some good free datasets to practice