Developers
Event
Visit us at Edge AI San Diego
March 24-26
Catch us at Edge AI San Diego to see edge-first AI in action
March 24-26 | Eve – 975 Waterfront Pl Suite 400, San Diego, CA 92101
The question driving our work: what does it really mean to build AI for the edge first? Not cloud AI retrofitted for the field. Not models optimized for the data center, then squeezed onto a device. AI that’s designed from the ground up to operate in austere, disconnected, mission-critical environments.
At Edge AI San Diego, we’re bringing that question to the main stage with a panel of defense and industry leaders exploring what edge-first looks like in practice, from technology to policy. And we’re showing our own answers at the demo table. Come see what we’ve built and talk to the team behind it.
EDGE AI paneL
Mission critical edge AI for defense industries
How do we architect, procure, and scale AI for environments where the network disappears and the mission doesn’t?
Thursday, March 26 | 12:30pm – 1:10pm | Mainstage
Edge AI is no longer a future-state concept — it’s being deployed today across defense and aerospace in ways that demand reliability, speed, and resilience far from any data center. But building for the edge requires a fundamentally different mindset: edge-first architecture, edge-first policy, and edge-first strategy.
This panel brings together leaders from defense, industry, and government to explore what it really takes to design, deploy, and scale mission-critical AI at the edge. How do we move beyond cloud-dependent models? What does responsible, sovereign AI look like in the field? And what policy frameworks need to evolve to keep pace with the technology?
Event Speakers
Sek Chai
CTO and Co-Founder, Latent AI
A 20-year veteran of AI R&D, Sek drives Latent AI’s technology strategy, with deep expertise in machine learning, computer vision, and high-performance computing. Before co-founding Latent AI, he led groundbreaking work at SRI International, including DARPA programs L2M and RFMLS.
Rear Admiral Doug Small
USN Ret.
Advisor, Latent AI
Doug retired in 2024 after nearly four decades in the U.S. Navy, most recently as Commander of Naval Information Warfare Systems Command (NAVWAR), where he led 11,000 personnel and spearheaded Project Overmatch, the Navy’s flagship joint all-domain command and control initiative.
Charles Yetman
Senior Scientific Technical Manager
NWIC Pacific
Charles has spent over two decades advancing defense IT and data science at NIWC Pacific, including leadership roles in AI/ML applied research, cloud computing, and big data analytics for naval warfare systems.
Ana Olson
Accenture Federal Services
Ana leads the Defense and Intelligence portfolio at Accenture Federal Services, where she oversees a ~$330M P&L and a team of 120+ professionals delivering large-scale technology transformation for DoD and IC clients.
Tricia Fitzmaurice
President / SMO, WindRiverX
Tricia brings 25+ years of federal IT experience, with deep roots in edge computing, national security, and mission-critical infrastructure. She has held senior leadership roles at Red Hat, UiPath, and Rancher Government Solutions.
Stop by our table and experience our innovations firsthand:
Latent Field Tactical Suite
Off-grid AI for autonomous unmanned surface vessels with no-code updates
Operate seamlessly in GPS-denied or contested environments with Latent FTS. Integrating ruggedized hardware and real-time control, operators can label threats, deploy adaptive AI models, and track assets—all via a no-code interface that sustains mission advantage without specialized technical expertise.
Latent Assisted Label
Accelerating dataset labeling with NVIDIA Omniverse
Overcome vast surveillance datasets for intelligence, surveillance and reconnaissance (ISR) with data annotation that cuts expert effort by 99%. Our generative AI pipeline, powered by NVIDIA Omniverse and CUDA / Tensor Cores, creates hyper realistic training data to expedite annotation—fueling rapid model development for edge AI in dynamic operational environments.
Latent Linguist
Real-time, offline translation for field operations
Enable secure speech-to-speech communication in disconnected and high-risk environments with Latent Linguist. Running entirely on-device, operators can speak, listen, and read naturally with continuous translation, text and OCR support, and rugged low-SWaP hardware—maintaining mission tempo without relying on the cloud or human interpreters.
Latent Assisted Label was recognized by the U.S. Army’s xTech program, securing fourth place in the xTech AI Grand Challenge competition.
Connect with our experts for live demos and insights on embedding edge AI into multi-domain operations. Deliver AI-ready capabilities that perform reliably across any platform and mission environment.
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