If you’re a developer or tech leader building AI systems, the term Agentic AI is something you’ll hear more of in 2025.
Traditional AI excels in classification, prediction, and language processing. But Agentic AI? It goes beyond. It takes initiative, understands intent over time, and collaborates across systems to fulfill goals autonomously.
Imagine building an AI that doesn't wait for instructions it suggests optimizations, launches processes, and self-corrects based on contextual awareness.
This post explores:
- What Agentic AI is and how it differs from generative AI
- Real-world examples in business contexts
- Challenges in implementation and governance
👨💻 Whether you're developing LLM-based agents or AI orchestration tools, this evolution is worth paying attention to.
🔗 Full article here: How Agentic AI Reshapes Business
