Session ID: S73739
π€ Speakers:
- Bartley Richardson | Director of Engineering, NVIDIA
- Kris Murphy | Technical Product Manager, NVIDIA
π Date & Time: Wednesday, March 19 | 12:00 AM – 12:40 AM EAT
Introduction: The Rise of Agentic AI Systems
AI agents are the next evolution of digital intelligence, capable of:
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Understanding complex tasks and reasoning about a mission
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Planning multi-step workflows autonomously
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Retrieving and processing data efficiently
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Using tools and APIs to generate high-quality responses
However, enterprise-scale data presents a challengeβthe sheer magnitude and complexity make it difficult and costly to utilize effectively.
π Solution: This session will explore the best tools and frameworks for building agentic AI systems that:
- Connect AI agents to reusable tools
- Unlock enterprise data efficiently
- Drive automation and efficiency across industries
Key Components of an Agentic AI System
1. AI Agents & Reasoning Capabilities
πΉ Multi-Step Reasoning β AI agents must break down missions into logical steps.
πΉ Autonomous Planning β Agents should be able to create and adjust plans dynamically.
πΉ Self-Learning & Adaptation β AI should improve over time using reinforcement learning (RLHF).
2. Tools & Frameworks for AI Agents
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NVIDIA NeMo β Advanced LLM development & fine-tuning
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Retrieval-Augmented Generation (RAG) β Enhancing AI with external knowledge
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APIs & Integrations β Connecting agents with enterprise data
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Reinforcement Learning (RLHF) β Improving agent performance through feedback-based learning
3. Enterprise Data Utilization
π Data is the foundation of AIβbut enterprise data is often siloed, unstructured, and costly to process.
π Agentic AI systems must unlock value from enterprise data while optimizing efficiency and reducing costs.
Real-World Applications of Agentic AI
π¦ Finance β AI agents analyze market trends and provide automated trading insights.
π₯ Healthcare β AI agents assist in medical diagnosis and patient data retrieval.
π¦ Supply Chain & Logistics β Agents optimize inventory management and predict demand fluctuations.
π Customer Support β AI-powered agents handle complex customer queries with personalized interactions.
Why Attend This Session?
π Learn how to build intelligent AI agents that think, plan, and execute tasks autonomously.
π§ Explore cutting-edge frameworks like NVIDIA NeMo, RAG, and RLHF.
π Understand how AI agents can transform enterprise workflows by unlocking the power of data.
π Join us to discover how AI agents will shape the future of business automation! π







