AI Con USA 2025 - Agentic
Wednesday, June 11
Building Reliable AI Agent Flows
AI agents are revolutionizing how we interact with software, but their reliability remains a critical challenge. In this talk, Jason Arbon explores the key principles and techniques for designing AI agent flows that are predictable, testable, and robust. Attendees will learn how to structure AI-driven interactions to minimize failure points, leverage validation mechanisms, and integrate automated testing strategies to ensure smooth execution. Drawing from real-world applications and lessons learned in AI-driven software testing, this session will provide practical insights for engineers,...
Test Machina: Demystifying AI-Driven Testing Agents
Software vendors and practitioners are using artificial intelligence (AI) and machine learning (ML) to create a new wave of test automation tools. Such tools leverage autonomous and intelligent agents to explore, model, reason and learn about a software product. But how do these testing agents really work? Is this technology any good? And can we really trust them to validate software? Tariq King will introduce you to the world of agentic AI and discuss its benefits, challenges and other limitations. Learn how AI test agents use AI/ML technologies to mimic human testing activities such as...
Unlocking Agentic AI Superpowers in the Quantum Multiverse
Step into the future of AI with an immersive dive into the cutting-edge world of AI-Augmented GenAI and how it intercepts with Quantum technologies. This session explores the intersection of multi-threaded AI workflows and the powerful anomaly detection capabilities made possible by Quantum-inspired computing. Discover the latest trends in ModelOps, where agile deployment strategies for domain-specific generative AI models are accelerating innovation in industries ranging from healthcare to defense. Jonathon will uncover how GraphRAG (Graph Retrieval-Augmented Generation) is...