About this event
Virtual meetup on Apr 2, 2026, 9–11 AM Pacific, exploring AI, ML and computer vision with four expert talks.
What you’ll get:
- Four high-signal talks from leading practitioners covering practical challenges and real-world deployments in AI, ML, and computer vision.
- A focus on production-ready patterns for AI agents, edge vision, data evaluation, and enterprise-scale agentic systems.
- A clear understanding of failure modes, operationalization pitfalls, and proven strategies to keep costs and latency in check when moving from lab to production.
- A flexible, online format suitable for developers, data scientists, and engineers who want actionable insights you can apply in your projects.
Agenda highlights (talks and speakers):
- Async Agents in Production: Failure Modes and Fixes — Meryem Arik (co-founder and CEO, Doubleword). Learn common failure modes of long-running async agents and practical design patterns to reduce error propagation and control token costs in production.
- Visual AI at the Edge: Beyond the Model — David Moser (Co-Founder, Orella Vision). Dive into deploying visual AI at the edge, covering not just models but end-to-end, production-grade edge systems, with real-world pitfalls and a practical mental model for edge projects.
- Sanitizing Evaluation Datasets: From Detection to Correction — Nick Lotz (Voxel51). See a workflow for auditing ground-truth data, diagnosing label discordances, and correcting data in-situ to create a trustworthy end-to-end evaluation pipeline.
- Building enterprise agentic systems that scale — Aman Sardana (Senior Engineering Architect, Cisco). Explore multi-agent orchestration patterns for complex workflows, personalization, and enterprise-scale foundations that earn user trust.
Format and logistics:
- Location: Online (Registration for Zoom). The event is virtual, so you can attend from anywhere.
- Time: Apr 2, 2026, 9:00–11:00 AM Pacific Time
- Audience: developers, data scientists, engineers, and product leaders interested in production AI, autonomous agents, and applied computer vision.
- Registration: The page notes registration for Zoom, so ensure you register to receive the meeting link.
Why attend:
- Learn from practitioners actively building production AI systems, not just theory.
- Gain a practical framework for designing robust, scalable AI agents and edge deployment strategies.
- Network with peers working on AI-enabled automation, no-code/low-code agentics, and enterprise AI applications.
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