AI Con USA 2026 - Business User
Customize your AI Con USA 2026 experience with sessions covering topics for business users.
Monday, June 8
Getting Started with AI and Machine Learning
Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice. Join Dionny Santiago as he introduces you to the world of applied machine learning. Dionny will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating...
Human in the Loop
New"We love AI and use it for everything we do!" "We hate AI and will NEVER use it for anything ever, I swear to god!" Which camp are you in? This will be a question that will come up over and over in 2026 and beyond. If you use AI for EVERYTHING and think you can be mistaken for AI…has AI not already taken your job? We all need to get INTENTIONAL about our stance in the AI-verse. Have you thought deeply about what is a good activity for AI to lead on and what should be uniquely human? We are already seeing a premium price tag on in-person, uniquely human-to-human experiences, and this will...
Model Context Protocol Fundamentals
NewTired of staring at the chat box of an AI assistant wishing it could actually do a task for you rather than just telling you what to do? Model Context Protocol (MCP) is the glue between an AI agent and your data and tools. With MCP, AI assistants can read your documents, conversations, and other context and take action for you by sending emails, submitting tickets and more. But what really is MCP and how do you use MCP servers safely in practice as part of your day-to-day workflow? This half-day course introduces MCP and dives into practical use cases. Laurel will walk you through how to...
Become an AI Power User
Impostering a bit in the AI-verse? Overwhelmed by daily AI announcements? Unsure you're using AI most effectively? Tiny bit of FOMO? We've got you covered! In this workshop, we'll help you become an AI Power User. Become a boss at your job, whatever your role or industry! We'll show you where AI shines and where you'll want to be careful, plus toss you lots of hands-on practice. In our time together, we'll help you pinpoint YOUR niche, build a custom AI assistant, and develop a comms strategy to show off your new skills. You'll walk out with cutting-edge knowledge, a prompt library...
Tuesday, June 9
This Is Our Agent, We Make the Call
Agents! Finally, a term that might be even more over-hyped than AI! But what exactly are Agents, and more importantly, how do you use them? Where do Agents fit within the overall AI toolkit? What capabilities do they add, and what tasks can they help us perform? Dona and Jeremiah will help you gain a solid understanding of Agents and the fundamental components of an Agent-based AI system. You’ll learn key design principles for Agents, as well as when to leverage them and scenarios where they may not be the best choice. We'll cover how to identify business problems that are well-suited for...
Agentic AI: From Rules to Reasoning
NewAI agents have existed for decades, but generative AI has fundamentally changed what agents can do and how they are designed and built. Come and explore the evolution of AI agents across two major waves. First, learn the foundations of Agentic AI through agents built using rules, heuristics, and traditional machine learning, examining where these approaches excel and why they struggle with complexity, ambiguity, and scale. Then dive into the second wave of agents powered by generative AI and multimodal large language models. These modern agents can reason, plan, use tools, and interact...
Vibe-Coding a Business: Using AI to Rapidly Build, Test, and Validate Real Products
NewAI has fundamentally changed how quickly new businesses can be created. With modern, high-end models, individuals and teams can now move from a raw idea to a functioning product, market narrative, sales motion, and operating loop in days rather than months. The challenge is no longer whether AI can generate assets—it’s how to use AI intentionally across the entire business lifecycle to produce outcomes that are relevant, credible, and sustainable. In this hands-on tutorial, Jason Arbon leads participants through a practical, end-to-end approach to “vibe-coding” a business using AI. The...
Wednesday, June 10
Will the Real Autonomous Agent Please Stand Up: What’s Real, What’s Not, and What You Actually SHOULD Be Investing in in the AI-Verse
If you’ve seen the news lately, the tech bros will have you believe that AI is both here to take your job and also your soul. On the other side, people are saying that we are in an AI-bubble, it’s all hype, and we don’t need to worry about it at all. Which is it? The truth is…it’s a little of BOTH. Dona will demystify what the latest buzzwords in AI (what is OpenClaw all about) and show you a roadmap for how you can AND SHOULD be using AI in your day-to-day life. You’ll learn how to set up an experiment framework for yourself, identify the workflows AI is actually good for, how to run the...
Show Me the ROI: What Enterprise AI Actually Delivers in Year 4 - Panel
The hype cycle is over. The pilot graveyard is full. MIT research suggests that 95% of Generative AI implementations have little to no measurable impact on P&L. So what separates the 5% that actually deliver? In this no-fluff panel, practitioners from the front lines of enterprise AI — spanning automotive, cloud platforms, and the messy middle of real-world deployment — will have a candid conversation about what's working, what consistently stalls, and what it actually takes to move from experimentation to results.
The panel will discuss:
The use cases that outperform the hype...Thursday, June 11
Building Agentic Engineering Teams
Agentic engineering has quietly inverted the fundamental bottleneck of software development. For decades, the hard part was building, so we optimized teams for execution speed, hired specialists to cover capability gaps, and treated wasted work as a cost to be managed through careful planning and consensus. Now an engineer with the right tools can scaffold major features in hours, often faster than they can get a meeting on the calendar to discuss it. This talk is a field guide for leading teams through that inversion. It reexamines the hiring calculus, what makes an early career engineer...
The Next Era of Biological Discovery
We are entering a defining chapter for bioscience—one where AI is no longer an accessory, but a core engine of discovery. At the Allen Institute, AI is being woven throughout the scientific process empowering research teams to analyze complex biological systems at scale. Their teams are collaborating to develop frontier AI applications like advanced computer vision to interpret high-resolution imaging data, multimodal models that integrate complex molecular, cellular, and physiological signals, as well as intelligent systems to assist researchers as they navigate and synthesize vast...
From Intelligence to Personalization: The New Competitive Frontier in AI
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...
Proven, Not Promised: Real-World Insights from Nelnet’s AI Transformation
Engineering leaders are under constant pressure to deliver faster, improve quality, and reduce costs despite fixed resources. At Nelnet, this challenge was compounded by ongoing acquisitions, a complex application landscape, and competing team priorities. Brittany Wilson will discuss how they evaluated the impact of Generative AI (GenAI) on the software development lifecycle without disrupting critical delivery work and how Nelnet adopted a measured pilot approach. Over 12 weeks, a side-by-side experiment compared a GenAI-enabled team with a business-as-usual team working on similar...