Dr. Chanson Lin is the Founder / Chairman & CEO of EmBestor Technology, a company specializing in industrial, niche application, and embedded storage applications. The company focuses on memory storage controller design and flash memory-based storage architectures. He has over 20 years’ experience designing NAND flash memory controllers and invented over 100 patents in the area. Before founding EmBestor, he was General Manager of the NAND flash memory controller business unit of ITE Technology, General Manager of USBest, and President / co-founder of RiCHIP. He has published several articles on embedded systems, industrial applications and has given many conference presentations, including several at previous Flash Memory Summits. He earned a PhD in electrical engineering from the National Chiao Tung University (Taiwan) and an MSEE from the National Taiwan University.
Most AI architectures today are shaped by hyperscale assumptions—elastic compute, stable power, and constant connectivity. While effective in cloud environments, these assumptions mat not hold in industrial settings. Industrial AI must deliver decade-long reliability, tolerate harsh operating conditions, and recover autonomously from failures. In these environments, silent failure is unacceptable, and hardware replacement is rarely feasible.Industrial AI therefore diverges from the hyperscale playbook. In this paradigm, memory and storage evolve from passive performance components into anchors of system continuity. They are responsible for preserving AI models, operational data, and recovery states when compute, OS, or networks fail. As a result, the fundamental design metric shifts from peak performance to survivability.By reframing memory and storage as strategic system elements rather than commodities, a new framework for availability, trust, and long-term value emerges. This approach enables the design of Industrial AI systems that are resilient, recoverable, and trustworthy by design—ensuring that operational truth is preserved even under the most challenging conditions.