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Orchestrating Scalable AI Solutions
Adopting a standardized approach for orchestrating scalable AI solutions can have a significant impact on value generation for businesses. Through the utilization of a common scalable AI framework, users can effectively address both quality and productivity use cases, aiming to minimize defects and maximize throughput. For example, AI configurations in a Run-to-Run controller can enable efficient compensation for tool and process drifts over time, even in high-mix and low-volume production scenarios. Additionally, AI technology can automatically configure the optimal decision needed for real-time scheduling, facilitating the co-optimization of yield and throughput.