Technology

59647 readers

3765 users here now

This is a most excellent place for technology news and articles.

Our Rules

Follow the lemmy.world rules.
Only tech related content.
Be excellent to each another!
Mod approved content bots can post up to 10 articles per day.
Threads asking for personal tech support may be deleted.
Politics threads may be removed.
No memes allowed as posts, OK to post as comments.
Only approved bots from the list below, to ask if your bot can be added please contact us.
Check for duplicates before posting, duplicates may be removed

Approved Bots

founded 1 year ago

MODERATORS

[email protected]

1037

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

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

171 comments fedilink hide all child comments

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

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 21 points 2 months ago* (last edited 2 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 2 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 2 months ago* (last edited 2 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 2 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 2 months ago

Kaggle has some good free datasets to practice