AI Con USA 2026 - Concurrent Sessions

Enterprise containerized applications face a critical reliability crisis with complex failure modes including memory leaks, cascading failures, network partitions, and resource contention that traditional monitoring tools cannot predict or resolve fast enough. Organizations typically experience multiple production incidents monthly with multi-hour resolution times that consume significant engineering resources while causing customer-facing outages and revenue loss. Traditional approaches rely on reactive monitoring, manual troubleshooting across distributed container environments, and time...

The agentic enterprise isn’t just about smarter decisions—it’s about turning decisions into outcomes through real-time data, real-time execution, and sovereign deployment across hybrid environments. Organizations are shifting from isolated assistants to orchestration-first operating models that coordinate specialized agents across enterprise tools with centralized governance and policy guardrails, keeping execution secure, auditable, and resilient at scale. In parallel, agentic approaches are being applied across the digital lifecycle to accelerate modernization and delivery while...

Scientific discovery faces a major bottleneck: while generative AI has transformed information processing, it has not yet unlocked comparable acceleration in understanding the physical world. Traditional computational chemistry and materials modeling remain too slow, expensive, and limited to power large-scale innovation. SandboxAQ tackled this challenge by developing Large Quantitative Models (LQMs) — a new class of AI models that merge machine learning, physics-based simulation, and quantum-inspired algorithms to model molecular and material interactions at unprecedented speed and...

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Advances in robot learning and affordable general-purpose hardware are changing physical work faster than any past wave of automation. Industrial robot arms transformed repetitive factory tasks, but they could only operate in tightly controlled settings. Now, new learning methods and off-the-shelf mobile robots make it possible to teach machines to perform many kinds of hands-on work in warehouses and logistics facilities. This session looks at where the technology stands today, what has changed, and what the next few years will bring. Attendees will learn how to spot real opportunities...

AI-powered development has delivered on its promise. Code is being written faster, at greater scale, across nearly every enterprise engineering organization. But velocity without visibility isn't progress — it's risk accumulating quietly in your pipeline.

The bottleneck in software delivery has shifted. It's no longer writing the code. It's reviewing it, testing it, governing it, and proving it delivered something worth paying for. Yet most organizations are discovering that their governance frameworks, cost controls, and accountability structures haven't kept pace with the volume AI...

Are you ready to transform your productivity from incremental gains to exponential growth? Whether you're an individual contributor or engineering leader, this session introduces the AI Maturity Model, a proven framework that guides technical teams through five distinct levels of AI adoption—from 33% productivity boosts to an extraordinary 1000% increase. Discover how to navigate each stage: Level 1 (Foundation, 33%) builds essential AI awareness; Level 2 (Literacy, 75%) develops practical AI skills; Level 3 (Fluency, 300%) masters AI-assisted workflows; Level 4 (Agents, 500%) implements...

AI strategy has focused on intelligence—better models, stronger reasoning, and higher benchmark performance. That advantage is rapidly commoditizing. As AI becomes embedded across products and operations, the next source of durable value is personalization; systems that adapt to individual customers, employees, and contexts over time. Generic AI delivers diminishing returns; relevance, trust, and perceived quality increasingly determine adoption and impact. This talk explains why personalization is emerging as the decisive competitive frontier in AI, how it reshapes product strategy and...

There is no question that Generative AI models can improve the productivity of almost every role within the software development process. Tools like GitHub Copilot, Amazon CodeWhisperer, Tabnine, and more, can be critical tools to help developers do their jobs better and faster. Join Coveros CEO Jeffery Payne to explore how Generative AI solutions help software developers generate and supplement code and even suggest improvements to what you’ve already created.

The success of agentic applications using LLMs depends largely on the ability to properly manage the context - the collection of prompts, tools, history, memory, and RAG-indexed content. When you take all of these elements into account, you are able to get the most out of the LLM while avoiding hallucination, conversational drift, and relevance issues. Topics to be covered include: dynamic LLM selection, automated prompt development, context compression, tool decoration, RAG optimization, and LLM-as-a-judge quality assessment of LLM responses. Each of these smaller parts together build...

Borrowing from tabletop games, this session transforms AI leadership into a live-action adventure. Each team faces challenges drawn from real-world case studies: biased data, budget cuts, regulatory chaos, and “move-fast” culture. Every choice (and dice roll) reveals how easily good intentions can drift into poor outcomes. You’ll leave understanding why alignment isn’t a compliance checkbox, it’s a continuous act of human judgment. Key takeaways include: experience on how small trade-offs create large ethical ripple effects, applying alignment frameworks that balance business speed with...

With thousands of Intuit services, managing incidents efficiently and effectively becomes essential. In this talk, Akshay will examine how they have moved beyond traditional incident management methods to embrace AI-driven solutions for speed, resilience, and continuous improvement. The session will outline how Intuit has scaled incident management across thousands of services, ensuring robust support across their ecosystem. See how the team utilized real-time insights and advanced automation to enhance AWS-related incident detection and resolution across Intuit's infrastructure, as well...

Traditional software testing is fundamentally deterministic: the same inputs must always produce the same outputs. Yet many teams introduce AI into their testing without first defining the problem the AI is meant to solve, leading to brute-force experimentation and unreliable results. Google’s 2025 DORA report highlights that user-centricity is a prerequisite for AI success and that AI is most effective when it is pointed at a clear problem. AP shows you how that insight applies technically to testing. Before AI can be used as a testing tool, it must first be tested and understood in the...