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Agentic AI systems are emerging as powerful tools that can anticipate needs and make autonomous decisions. In this session, Atita Arora Independent Solution Architect, ex-Qdrant explores the practical applications and implications of these proactive AI agents across industries. We'll examine: Core principles of agentic AI and how it differs from traditional reactive systems Real-world case studies in healthcare, finance, and customer service Potential benefits, including improved efficiency and decision-making accuracy Challenges in implementation, including integration with existing systems and processes Ethical considerations and the need for human oversight Through concrete examples and critical analysis, we'll assess whether agentic AI represents a genuine leap forward in decision-making or if it's an overhyped trend. Attendees will gain insights into the current state of agentic AI and its potential impact on their industries.