Can Industry Research Really Predict the Future?

July 25th, 2025|Future Scenarios and Design|

Can Industry Research Really Predict the Future? Industry researchers are often asked to predict the future: next quarter’s market share, five-year growth trajectories, the next destination in the global supply chain. But are such expectations realistic? Without systems for timely feedback, institutional validation, or long-term credibility building, can

Imagining Asia’s Supply Chain Collaboration: Toward Flexible, Real-Time Networks

May 1st, 2025|Future Scenarios and Design|

Imagining Asia’s Supply Chain Collaboration: Toward Flexible, Real-Time Networks Amid rising costs, shifting geopolitics, and increasing supply chain fragmentation, Asia’s supply chain networks are undergoing a quiet yet profound transformation. This article explores how the next phase of supply chain collaboration will move beyond relocating production hubs to

Optical Actuators: The Overlooked Risk Node in a Geopolitically Fragile Supply Chain

April 17th, 2025|Future Scenarios and Design|

Optical Actuators: The Overlooked Risk Node in a Geopolitically Fragile Supply Chain As global tech competition intensifies and rare earth elements become increasingly strategic, a quiet yet critical vulnerability is emerging within the imaging module supply chain: optical actuators. Although these components account for only 15–20% of camera

AI chip market evolution: Cloud vs. edge in training and inference Part 2: Edge training, inference, and market trends

February 19th, 2025|Future Scenarios and Design|

AI chip market evolution: Cloud vs. edge in training and inference Part 2: Edge training, inference, and market trends The AI chip market is undergoing significant transformations, which can be understood through two key dimensions: deployment environments (cloud vs. edge) and market segments (training vs. inference). Cloud-based training

AI chip market evolution: Cloud vs. edge in training and inference Part 1: Cloud training and inference

February 18th, 2025|Future Scenarios and Design|

AI chip market evolution: Cloud vs. edge in training and inference Part 1: Cloud training and inference The AI chip market is undergoing significant transformations, which can be understood through two key dimensions: deployment environments (cloud vs. edge) and market segments (training vs. inference). Cloud-based training currently dominates

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