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Use AI for Engineering Work!

Engineers tend to think that AI Engineering has to do something with machine learning. Tejas Kumar, Developer Relations Engineer for GenAI at ‪@DataStax‬ , explains that AI engineering is an entirely different discipline.

Tejas thinks the main problem with AI engineering is that it lacks a formal definition. Many people confuse it with machine learning research and engineering, but those are completely different skills.

AI engineering does not require academia, experience with machine learning models, Python, or linear algebra - it’s just applying AI to solve problems.

00:23 Talk to an API, not a ML model / Junior Dev
01:18 Not a Data Scientist or an ML Engineer / Senior Dev
01:57 Data Privacy, Security, and Ethical Concerns / CTO

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ShiftMag is a global magazine and community for software engineers, bringing best practices at different teams and companies, hot takes, and even (un)popular opinions from prominent industry voices. Discover how your fellow engineers work, learn about what they think, and get advice on becoming a better engineer.

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