Agentic AI 101 explored the evolution of AI from traditional rule-based systems to dynamic, goal-driven agents powered by large language models (LLMs).
The session introduced the foundations of Agentic AI, covering the seven types of AI agents and their real-world applications.
Emerging Agentic Protocols and trends in agent interoperability were discussed, along with practical challenges like hallucinations, complexity, orchestration, and governance.
Strategies for building resilient, trustworthy, and ethically aligned agentic systems were shared by the speakers, Mahita D and Swetha A from Sahaj Software.
The talk highlighted how AI agents are transitioning from tools to collaborative digital partners, shaping the future of intelligent computing.
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