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MAGenetic AI explained
Each requires different infrastructure, skills, and governance.
Here’s the breakdown:
1️⃣ AI & Machine Learning
The foundational systems that learn from data, make predictions, optimise processes.
2️⃣ Deep Neural Networks
Pattern recognition at scale: vision, speech, complex data relationships.
3️⃣ Generative AI
AI that creates text, code, images, and audio. This is where most companies are today.
4️⃣ AI Agents Systems with memory and planning
They break down tasks, use tools, maintain context.
5️⃣ Agentic AI
Networks of agents that collaborate autonomously.
They plan long-term, coordinate with each other, self-evaluate, and improve over time.
The difference between Generative AI and Agentic AI?
Generative AI → Responds to prompts.
AI Agents → Execute multi-step tasks with tools.
Agentic AI → Operates with minimal supervision. #generativeaitools #30daychallenge #learnai #aiishard #aiisthefuture
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