Amazon Web Services

**ProductTank NoVA is back!** After a brief hiatus, we are relaunching the chapter with a format that cuts out the fluff and gets straight to the reality of building. Every product feed is flooded with AI hype right now, but what does it actually look like on the ground? Instead of a polished keynote, we are hosting **0 to 1 with AI: Real Product Talks**—a "Show & Tell" featuring 3–4 lightning talks focused on the intersection of AI and product. The framing for the talks is simple: *"Here is what I'm building, and here is what I'm stuck on."* We want to look at the messy, 0-to-1 reality of integrating AI into your workflows and products. *(Want to share what you are working on? Reach out! The bar is low-pressure, just 10–12 minutes to talk about a real AI problem you are trying to solve.)* **Agenda:** * **5:30 PM - 6:00 PM:** Doors open, networking, & name tags * **6:00 PM - 6:10 PM:** Welcome + Chapter Relaunch Intro * **6:10 PM - 7:30 PM:** Lightning Talks (Three 12-min talks + 5 mins Q&A each, with a 5-min stretch break) * **7:30 PM - 8:00 PM:** Open networking * **8:00 PM:** Soft close **Location & Logistics:** Herndon Fortnightly Library (Extended Hours Meeting Room) 768 Center St, Herndon, VA 20170 * **Parking:** We'll meet at the library, located just behind the Herndon Municipal Center. There is plenty of free public parking available around the municipal center. * **Metro & Bus:** Take the Silver Line to Herndon Metro Station, then connect via Fairfax Connector Route 921 or 950 to Historic Downtown Herndon. * **Driving (via VA-267/Dulles Toll Rd):** Take Exit 10 North (Centreville Rd, which becomes Elden St). Turn left onto Station St or Lynn St. * **Driving (via VA-286/Fairfax Co Pkwy):** Take the Elden St West exit. Turn right onto Lynn St. Looking forward to seeing everyone again and getting back to building!

**This session will dive deep into Amazon Connect's latest launches that covers the following latest capabilities:** 1. Nova Sonic: Speech-to-speech voice technology for natural conversations 2. AgentCore Gateway: MCP server hosting for third-party tool integration 3. 1P MCP Tools: Native Cases, Customer Profiles, and Tasks tools for AI Agents 4. Email AI Capabilities: Conversation overview, knowledge recommendations, and generated email responses 5. Predictive Insights: Customer Profiles recommendations with five ML algorithms 6. Multi-KB Support: Configure multiple knowledge bases per Connect instance 7. Expanded Language Support: 60+ languages for Agent Assistance, Lex/Sonic languages for Self-Service 8. Flow Modules as Tools: Invoke reusable contact flow components as AI Agent tools 9. ListSpans API and Out of the Box Dashboards: Detailed metrics and dashboards for AI Agent interaction observability

We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)

📝 **Synopsis:** Last month we got the foundation in place. Now it's time to build on it. Join us as we pick up right where we left off and go hands-on with two of the most powerful services in the AWS ecosystem, EC2 and Lambda, all from your PowerShell prompt. 📘 **Description:** If you were with us in April, you already know how to set up the AWS CLI, install the necessary modules, authenticate securely, and manage IAM users and S3 buckets without ever touching the AWS console. This session picks up right where we left off. This time, we're heading into compute territory. We'll walk through spinning up EC2 instances from scratch—picking the right AMI, configuring security groups, and managing instance lifecycle with just a few clean lines of script. You'll see how to start, stop, and terminate instances programmatically, and why that matters when you're managing resources at scale. From there, we'll shift gears to Lambda, where you'll see how to invoke serverless functions, pass payloads, and pull CloudWatch logs directly from your terminal—no browser required. It's the kind of automation that makes your future self very happy. As always, expect live demos, real-world scenarios, and at least one moment where something doesn't go quite as planned—which, as it turns out, is usually the most useful part. Whether you were with us last month or are jumping in for the first time, you'll walk away with working scripts, a clearer picture of what's possible, and patterns you can actually take back to work on Monday. 📰 Extra credit: Bring your questions, your war stories, and your curiosity. This is a space for PowerShell enthusiasts to learn, share, and build together.

Healthcare organizations are increasingly using cloud-based real-world evidence (RWE) platforms to power clinical research, population health analytics, and AI-driven insights. However, building these systems on AWS introduces complex governance challenges around privacy, compliance, and multi-institution collaboration. This session explores how to architect data governance into healthcare analytics platforms on AWS, focusing on practical design patterns rather than policy theory. We examine how ethical data stewardship principles such as consent, accountability, and responsible data use, can be implemented using cloud-native controls and services. The presentation walks through key architectural considerations for secure RWE platforms on AWS, including role-based access control, auditability, data minimization, and encryption, and how these capabilities support compliance requirements such as HIPAA and GDPR. Attendees will learn how federated, multi-account AWS architectures enable collaboration across institutions while preserving local data ownership and control. We will also discuss privacy-preserving analytics patterns on AWS, including approaches that support federated learning, differential privacy, and secure computation to enable AI-driven insights without exposing raw patient data. Practical implementation trade-offs such as performance, scalability, and operational complexity will be highlighted using real-world platform scenarios. Attendees will leave with actionable AWS architecture patterns and governance strategies for building secure, compliant, and scalable real-world evidence platforms that unlock innovation while maintaining patient trust.

When: Thursday, May 14, 2026, 5:30 – 8:30 Location: Lost Rhino, 21730 Red Rum Dr, Ste 142, Ashburn, VA 20147 Come network with other local GovCon Executives and enjoy a few free beers on us and engage with our sponsors and Industry speakers. Speaker: Advanced Technology International (ATI), Tom Bailey – Director of Strategic Engagements. Largest Consortium Management firm, will discuss collaborations and Other Transaction Agreements (OTAs) – allows agencies to enter into agreements for research, development, prototyping, and sometimes production of new technologies or capabilities. Will provide overview of these collaborations with discussions and Q&A. Please register here for your spot and please enter full name and company so a badge will be waiting for you. If you would like your company logo to appear on the digital board, please message the logo to me. Feel free to pass along to another colleague or GovCon Executive in your network. Co-Sponsorships: Insperity, Pinnacle Financial Partners