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Join us for an honest conversation about what it takes to build, deploy, & trust AI agents in production.
This is a technical discussion for engineers & product leaders who are actively building agentic systems. Our panelists have shipped agents across different domains, from cloud cost management to security remediation to foundation model infrastructure, & will share the architecture decisions, hard problems, & real results along the way.
What we'll cover
AI agents are entering production faster than most teams anticipated. Building them well means solving hard problems across design, deployment, & ongoing operations, including getting a handle on what they actually cost to run.
Designing the agent: How production agents are structured today: tools, memory, model integration, orchestration, & decision loops. The patterns that held up, the ones that didn't, & what our panelists would do differently. We'll get into specific platform decisions, including building on AWS Bedrock.
Leveraging AI in engineering practice: How teams are using AI across development workflows, the hard problems worth talking about (anomaly detection in noisy data, balancing safe versus autonomous actions, integrating with live systems), & what it takes to earn trust in an agent that touches real infrastructure.
Controlling & understanding cost: What production agents actually cost across compute, inference, & orchestration, & how teams are treating cost as a first-class engineering concern rather than an afterthought.
The forward look: Where agentic AI is heading, how the economics are shifting, & what engineers building today should be thinking about for what comes next.
Program
5:30 - 6:00 PM: Doors open & check-in.
6:00 - 6:45 PM: Welcome reception with food & refreshments.
6:45 - 7:30 PM: Panel discussion with the North engineering team.
7:30 - 8:30 PM: Stick around to meet the speakers & continue the conversation.
We ask all approved guests to arrive between 5:30 pm & 6:30 pm. Everyone must register, no plus-ones.
Panelists
Crystal Marion, Sr. Software Engineer, AI @ North.cloud
Josh Kotrous, CTO @ Pensar
Raj Sakhuja, Generative AI Specialist @ AWS
TBD
North.cloud helps engineering, finance, & cloud teams optimize cloud spend with greater control & automation. The AI-powered FinOps platform delivers automated commitment management, AI-driven rightsizing, real-time cost intelligence, & GenAI workload visibility, helping teams improve commitment efficiency, reduce on-demand exposure, & take control of AI costs.
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