SF/Bay AI Developers Group

Enterprise Agentic AI at the Edge

Thu, Jul 9 · 5:30 PM PDT

Location not specified yet

Important Note: Register on AICamp website is REQUIRED for admission.

Description:
Join the Capgemini, Qualcomm, Arduino, and Moorcheh for a discussion on the future of Agentic AI beyond the datacenter. We'll explore how advances in edge computing, local inference, vector search, and persistent memory are enabling intelligent systems to operate directly on devices while maintaining context, autonomy, and responsiveness.

The evening will combine enterprise perspectives, technical deep dives, and live demonstrations showcasing what becomes possible when AI systems can remember, reason, and act without constant reliance on cloud infrastructure.

Agenda:
* ​5:30 PM – 6:00 PM: Check-in, food, and networking
* 6:00 PM – 6:15 PM: Welcome & community update
* ​6:15 PM – 8:00 PM: Technical Talks & Q&A
​* 8:00 PM – 8:30 PM: Open discussion, networking, and closing

Opening Keynote: The Future of Compute at the Edge
Speaker: Evgeni Gousev, Vice President, Tech & Product Exec and Board Member, Qualcomm.
Abstract: A visionary opening on the evolution of edge computing. Evgeni explores how Qualcomm’s architecture empowers devices like the Arduino UNO Q to process complex, localized AI workloads without relying on massive datacenter infrastructure.

Tech Talk: ​A Technical Walkthrough of the Arduino UNO Q Platform
Speaker: TBD, Senior developer, Arduino (a Qualcomm company)
Abstract: ​This session covers the exact hardware constraints, configuring the Linux environment, and the mechanics of optimizing the board to support heavy local deployments like semantic search and open-source models.

Tech Talk: ​​The Moor Edge: Moorcheh ITS Vector Search Engine on Arduino Uno Q
Speaker: ​Dr. Majid Fekri, CTO & Co-Founder, Moorcheh.ai
Abstract: ​​A live code review and hardware demonstration showcasing the Moorcheh Information-Theoretic Search (ITS) search engine running entirely locally. Majid will walk through the privacy-preserving retail kiosk pipeline, demonstrating how the hardware searches its persistent memory and generates real-time answers—entirely offline. By running a full vector search and quantized local LLM natively on the Arduino UNO Q (3.6GB), we are proving that enterprise-grade agentic memory doesn't require massive compute.

Tech Talk: ​​Gen Edge AI: Reasoning, Agentic Memory, and Physical Intelligence
Speaker: Tara Khani, CEO & Co-Founder, Moorcheh.ai
Abstract: ​​Tara will detail how resource-efficient agentic memory structures serve as the missing layer for physical AI. As AI workflows transition from static RAG to autonomous coding agents (like Cursor and Claude Code), traditional vector databases introduce a catastrophic "RAM Tax" and passive retrieval bottlenecks. This session covers the architecture of Memanto by Edge AI Innovations, an open-source active memory agent built on an Information-Theoretic semantic engine. We will break down how to replace passive data ingestion with a three-primitive memory loop (remember, recall, answer) that gives agents persistent, cross-session context.

Speakers/Topics:
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco and 500K+ in global.

AWS Agentic AI Summit with MongoDB Mastra

Wed, Jul 15 · 4:30 PM PDT

Amazon AWS 525 market street, San Francisco, Amazon AWS, 525 Market Street, San Francisco, CA, US

Important note: Register on the AICamp Event Website is REQUIRED for admission.

From Code to Production - Building Production-Ready AI Agents on AWS

The AWS Agentic AI Partner Showcase Extended features experts from AWS, MongoDB and Mastra, who will demonstrate how to build production-ready agentic AI systems from code to deployment. This focused session presents a complete development stack through live demonstrations, technical deep dives, and interactive discussions.

In addition to main stage tech talks and demos, partner booths will be available onsite throughout the event for attendees to visit, engage in Q&A, and deep dive into each partner's solution. The speakers will share practical insights into building, monitoring, and validating agentic AI applications that enhance your business processes and drive innovation.

What You Will Learn:
✔ Production-Ready Agentic AI – See live demonstrations of the complete development stack for building agentic AI systems, from coding environments through deployment and monitoring.
✔ Technical Implementation Strategies – Gain insights from AWS and partner experts on deploying agentic AI solutions with real-world use cases and AWS integration patterns.
✔ Expert Q&A & Networking – Engage directly with technical leaders from AWS and partner companies at dedicated booth stations, plus connect with fellow developers and practitioners building agentic AI applications.

Agenda

• 4:30PM - 5:30PM Check-In, Food and Booth Visiting
• 5:30PM - 7:45PM Kick-off, Tech talks, Live Demo
• 7:45PM - 8:30PM Networking, Q&A over Booths

Featured Speakers:

##### Abhijit Chakraborty

Senior Partner Solutions Architect, MongoDB

##### Sam Bhagwat

Founder/CEO, Mastra

##### Sathisan Vannadil

Sr. Partner Solution Architect, AWS

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