Agentic AI in Enterprises: From Fundamentals to Production Implementation
Abstract: Agentic AI is rapidly transforming enterprises from reactive chatbot deployments to autonomous, goal-driven systems capable of reasoning, planning, and acting across complex business workflows. In this technical talk, Agentic AI in Enterprises: From Fundamentals to Production Implementation, we move from first principles—agent architectures spanning perception, memory, reasoning, and action; Chain-of-Thought and advanced reasoning patterns such as ReAct and reflection; Retrieval-Augmented Generation (RAG); tool use; and memory hierarchies to real-world production systems delivering measurable ROI. Through three detailed end-to-end case studies in e-commerce customer support, healthcare prior authorization, and autonomous procurement, attendees will see complete workflow breakdowns illustrating how agents integrate with enterprise systems, apply multi-step reasoning, manage long-running context, and operate securely at scale. We will also confront the hard problems: hallucination, prompt injection, observability for non-deterministic systems, governance, cost control, and build-vs-buy strategy. Designed for engineering leaders, AI practitioners, architects, and technical executives, this session connects foundational concepts with real-world operational considerations, providing practical architectural patterns, evaluation frameworks, and implementation guidance to help organizations deploy agentic AI systems that are reliable, secure, and scalable in production environments.
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Priyanka of Workday
Agentic AI in Enterprises: From Fundamentals to Production Implementation
Abstract: Agentic AI is rapidly transforming enterprises from reactive chatbot deployments to autonomous, goal-driven systems capable of reasoning, planning, and acting across complex business workflows. In this technical talk, Agentic AI in Enterprises: From Fundamentals to Production Implementation, we move from first principles—agent architectures spanning perception, memory, reasoning, and action; Chain-of-Thought and advanced reasoning patterns such as ReAct and reflection; Retrieval-Augmented Generation (RAG); tool use; and memory hierarchies to real-world production systems delivering measurable ROI. Through three detailed end-to-end case studies in e-commerce customer support, healthcare prior authorization, and autonomous procurement, attendees will see complete workflow breakdowns illustrating how agents integrate with enterprise systems, apply multi-step reasoning, manage long-running context, and operate securely at scale. We will also confront the hard problems: hallucination, prompt injection, observability for non-deterministic systems, governance, cost control, and build-vs-buy strategy. Designed for engineering leaders, AI practitioners, architects, and technical executives, this session connects foundational concepts with real-world operational considerations, providing practical architectural patterns, evaluation frameworks, and implementation guidance to help organizations deploy agentic AI systems that are reliable, secure, and scalable in production environments.
Biography:
Priyanka has led the design and deployment of production-grade AI systems across various enterprises, enabling autonomous decision-making, optimizing complex operational workflows, and driving efficiency at scale. With multiple publications and patents, she has also been actively engaged in research on multimodal deep learning architectures, advancing the integration of language, vision, and structured enterprise data systems. She partners closely with executive and cross-functional leaders to translate AI innovation into measurable business impact, aligning intelligent automation initiatives with long-term strategic growth and operational excellence.
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Address:Oregon, United States
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