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April 2 - AI, ML and Computer Vision Meetup

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About this event

What to expect

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.
  • Ge

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