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SIGNAL/SUMMIT

Technology and AI · Portland, Oregon

Signal Summit

Where applied AI meets the people shipping it.

Two days of engineering-first talks on inference, evaluation and the unglamorous infrastructure behind useful models.

Register now October 14 - 15, 2026
  • 38sessions
  • 1,240builders
  • 6hands-on labs

Overview

01

Inference at scale

Latency budgets, batching strategies and what actually happened when teams moved models to the edge.

02

Evaluation that holds up

Practical eval harnesses, regression suites for prompts and how to argue with a leaderboard.

03

Data plumbing

Pipelines, lineage and the retrieval layers that quietly decide whether a product works.

Agenda

Day 01 / Oct 14

  1. Opening keynote: The boring parts win

    Why reliability beats novelty in production AI.

    Main
  2. Quantisation without tears

    Benchmarks from three real deployments.

    Infra
  3. Lab: build an eval harness in 90 minutes

    Bring a laptop. Leave with a CI job.

    Lab
  4. Panel: shipping agents responsibly

    Guardrails, audits and rollback plans.

    Main

Day 02 / Oct 15

  1. Retrieval is a search problem

    Lessons from rebuilding a vector stack twice.

    Data
  2. Cost curves for small teams

    Honest numbers on GPU spend.

    Infra
  3. Lightning talks

    Twelve speakers, five minutes each.

    Main
  4. Closing: what we got wrong

    A candid retrospective from the program committee.

    Main

Speakers

All speakers and organisations are fictional.

  • Priya RamaswellPrincipal Engineer, Lattice HarborInference at the edge
  • Tomasz OkaforHead of ML Platform, QuillmarkEvaluation pipelines
  • Hana BergqvistResearch Lead, Northvane LabsRetrieval systems
  • Diego AchterbergStaff SRE, Brightwater CloudReliability for models

Venue

Foundry Hall

1120 NW Kestrel Ave, Portland, OR (fictional)

October 14 - 15, 2026

  • Four stages across two floors
  • Step-free access throughout
  • Ten minutes from the light rail

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