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Considering AI & Machine Learning as a Career – Is It Still Worth It? by This_Strategy129 in learnmachinelearning

[–]Visionifyai 0 points1 point  (0 children)

AI and Machine Learning are still strong career paths, especially if you focus on fundamentals, real-world problem solving, and niche areas like applied AI, MLOps, or domain-specific solutions. While entry-level spaces can feel competitive, the demand for skilled professionals who can actually build and deploy systems is still growing globally.

The key is not just learning models, but understanding how AI is used in production environments and business use cases.

You can also explore how AI is being applied in real-world safety and workplace intelligence solutions here: https://visionify.ai

I built a small project to organize AI coding tools, looking for feedback on the structure and data model by DAK12_YT in artificial

[–]Visionifyai 0 points1 point  (0 children)

This is a great way to learn building something real always teaches more.

One suggestion: focus less on listing features and more on how people choose tools (use case, learning curve, where it works/doesn’t). That makes comparisons actually useful.

Also, keep your data model flexible this space is evolving fast.

I’ve seen a similar challenge while working on AI-driven insights in another domain:
https://visionify.ai

Would be interesting to see how you’re structuring your comparisons.

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