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2020-Q1 2026-Q1

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AI is rapidly transforming cybersecurity - used by both attackers and defenders to outsmart one another in real time. Ethical hackers now face a new frontier where AI-driven threats demand AI-powered defenses. A 60-minute live session exploring how AI is reshaping ethical hacking, evolving tactics of cybercriminals, and the strategies you need to safeguard organizations in this new era. What you’ll learn:\n1. How AI is being weaponized in modern cyberattacks.\n2. Defensive use cases of AI in ethical hacking.\n3. Real-world examples of AI vs. AI in action.\n4. Skills and tools every ethical hacker should master.

Learn how these founders shape AI, trust and human agency in this interactive discussion with 3 AI startup founders and an IEEE leader in the upcoming standard for humans interacting with AI agents.

Join Charlottesville Data Science for a casual exploration of vibe coding — that intuitive, almost telepathic style of interacting with AI for programming tasks. This talk will cover: history of vibe coding/programming with AI from early chatbots to today's nearly-fully-autonomous agents; demonstration of Code Puppy, an AI code agent that responds to natural language prompts with a vibe-based approach to problem-solving; a live exploratory data analysis (EDA) with iPuppy-Notebooks, a Jupyter-like notebook integrated with a Puppy Scientist agent that will analyze datasets in real time; I will even attempt analysis on a dataset provided by an audience member, provided it can fit on my janky laptop; discuss the weird state of the tech world and how to navigate our changing career landscape together; share strong opinions (that I hold weakly) and encourage you to do the same. Come for the AI puppies, stay for the nerdy discussion! This will be less of a formal presentation and more of a fun conversation among data science professionals, vibe coders, computer nerds, and anyone else who feels like joining!

AI agents are a new class of software applications that use AI models to reason, plan, act, learn, and adapt in pursuit of user-defined goals with limited human oversight. Building AI agents that can reliably perform complex tasks has become increasingly accessible thanks to open source frameworks like Strands Agents. However, moving from a promising proof-of-concept to a production-ready agent that can scale to thousands of users presents significant challenges.

Through hands-on demos, we'll build a system from scratch and progressively deploy it to production using the comprehensive enterprise-grade services provided by AgentCore. You'll learn to implement key production capabilities, including secure session isolation, persistent memory, identity management, and real-time observability. The learnings can be applied to any framework and model, hosted on Amazon Bedrock or elsewhere.

What happens when you treat AI like a coding partner? In this talk, I’ll share how I used AI tools to build the London Improv Calendar - a fully serverless application on AWS (Lambda, DynamoDB, API Gateway, and more). This isn’t theory; it’s a practical, in-the-trenches account of working with AI as a solo engineer. We’ll cover what worked well, what fell flat, and where AI truly accelerated development. If you’re curious about pairing AI with serverless, or just want some real-world lessons you can apply to your own projects, this session is for you.

AI copilots are reshaping how we interact with software—but what makes them really work under the hood? In this talk, we unpack the design patterns and architectural choices that go into building a reliable copilot, then show how Rust and Rig make it practical to implement. From streaming responses to modular agents, we'll cover the key techniques while demystifying systems that enhance and power many developers' workflows.