Day 1 | Traditional AI in DevOps Explained with Example

Описание: Welcome to Day 1 of the AI in DevOps series! 🚀
In this video, we dive into Traditional AI in DevOps — how it works, where it’s used, and its limitations.

✅ What you’ll learn:

What Traditional AI means in the context of DevOps

How it uses structured data, rules, and predictive models

Example: Incident detection & prediction in real-world systems

Limitations of Traditional AI in handling dynamic and unstructured data

📌 Key Takeaway:
Traditional AI is excellent for classification, forecasting, and anomaly detection, but it only works on pre-trained scenarios and cannot go beyond structured input data.

This sets the stage for our upcoming videos, where we’ll explore Generative AI and Large Language Models (LLMs) in DevOps.

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