Podcast hero

episode 40

Getting to Ground Truth with Strategies from ML in Electronics Manufacturing

Data Science Leaders | 26:29 | March 01, 2022

Data Science Leaders: Alon Malki

Get new episodes 
in your inbox

Many people assume that once you establish a manufacturing line, the hard work is done and things remain relatively static. The reality, especially in electronics manufacturing, is entirely different.

Constantly changing data streams and endlessly dynamic variables present some unique challenges for data scientists in the field. But there are lessons on data sharing, model adoption, and real-time impact that ML professionals in any field can learn from.

In this episode, Alon Malki, Senior Director of Data Science at NI (National Instruments), opens a window into the world of data science in electronics manufacturing. Plus, he shares why human-in-the-loop processes are essential to gaining buy-in for AI in the enterprise.

We discuss:

  • Data science in electronics manufacturing
  • Strategies for sharing data to improve manufacturing processes
  • Human-in-the-loop applications
  • Looking for challenge-motivated data science talent

Popular episodes

Gregory Zuckerman

Special Writer at the Wall Street Journal

EPISODE 55September 14, 2023

Celebrity Guest Gregory Zuckerman: Trusting AI to Make the Decisions

Listen Now | 12:09

Dr. Satyam Priyadarshy

Managing Director, Technology Fellow and Chief Data Scientist

EPISODE 54August 30, 2023

Solving the AI Talent Gap: Upskilling at Scale at Halliburton

Listen Now | 45:13

Jen Stave & Catherine Feldman

Harvard D^3 Institute

EPISODE 53August 16, 2023

The AI Innovator’s Dilemma: Insights from Harvard’s D^3 Institute

Listen Now | 29:00

See why Fortune 100 data science leaders choose Domino