Hardware Podcasts

AI's Role in Manufacturing Efficiency and NPI Success with Instrumental CEO Anna-Katrina Shedletsky

EMS@C-LEVEL · 23 May 2024 · 25m

AI in practice: one real use of AI described

What this episode covers

Anna-Katrina Shedletsky, CEO and founder of Instrumental, discusses how her company uses AI to accelerate New Product Introduction (NPI) and improve manufacturing efficiency. She highlights a case study with Meta, where Instrumental's technology saved 900 engineering weeks annually across seven programs by identifying defects earlier in the EVT phase. Shedletsky explains the concept of the 'shadow factory' (rework and bone piles) and how reducing its size frees up capacity. She also advises manufacturers to focus AI adoption on solving specific, high-impact business problems rather than chasing trends, noting Instrumental's nine-year journey from startup to an established player in the contract electronics space.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

ManufacturingInstrumental

The system aggregates data from images and functional tests, leveraging AI to find connections and insights that identify root causes of defects, accelerating the engineering process and improving yield.

“The part of what goes in the factory is just like the tip of the spear of aggregating data from images . Also functional test data and leveraging AI to find connections and insights and identify defects and identify root causes accelerate that engineering process…”

Speaker 2 · Hear it at 6:27

Most relevant to

companies scaling up

Topics

Mentioned

Companies
Instrumental, Meta, Apple, Koh Young, Global Electronics Association
Also
GE Predix

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