Nolan's Notes: The Rise (and Risk) of Data
Global Citizenship: Comparing and Contrasting the U.S. and China PCB Industries
Standard of Excellence: Finding and Hiring the Right Candidates for Engineering Positions
Cybord’s Accurate One-Two Punch
November 7, 2024 | Nolan Johnson, I-Connect007Estimated reading time: 1 minute
To continue the counterfeit discussion from our October issue, I recently connected with Oshri Cohen, CEO of Cybord, to discuss advancements in both counterfeit detection and data analytics. To hear Oshri describe Cybord’s work is to realize that real-time counterfeit detection technologies can also contribute directly to improving process windows in production.
Nolan Johnson: Oshri, you’ve been with Cybord for about two years now. What led you to join the company?
Oshri Cohen: I was vice president of supply chain at NVIDIA, and vice president of operations at Mellanox for 15 years until it was acquired by NVIDIA. In 2022, I left NVIDIA where I was responsible for the production, quality, manufacturing procurement, and every aspect related to the board execution itself and for the data center division at NVIDIA. That amounted to around 10 million boards every year. It’s an interesting activity; you learn a lot across the spectrum of quality and manufacturing.
I came to Cybord because I could bring that customer perspective. Cybord had fantastic technology, but it was not fine-tuned to exactly what a customer really needs. Now, I think we are better synced with the customer pain points, and we see the results. It's a different story now.
Johnson: Our October issue of SMT007 Magazine focused on counterfeiting, and this month we're talking about the evolution of data analysis on the manufacturing floor. Cybord lives in both of those spaces.
Cohen: Correct. Cybord utilizes data for many purposes, one of which is counterfeit detection. First, though, let's talk about the data. This industry is quite conservative. We’re not running toward new technology adoption or capabilities, and even if they have the opportunity to collect data, someone still needs to do something with it. The industry is not excellent at interpreting and analyzing this data.
To read this entire conversation, which appeared in the November 2024 issue of SMT007 Magazine, click here.
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