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Transformative Impact of Artificial Intelligence in Semiconductor Manufacturing

Infosys Consulting

Co-authored by Wonjoo Kim Semiconductor manufacturing has been facing unprecedented challenges, struggling with the rapid transformation of technologies and ever-increasing demand for faster time to market while preserving cost effectiveness.

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Transformative Impact of Artificial Intelligence in Semiconductor Manufacturing

Infosys Consulting

Semiconductor manufacturing has been facing unprecedented challenges, struggling with the rapid transformation of technologies and ever-increasing demand for faster time to market while preserving cost effectiveness. AI applications play a crucial role in optimizing these processes, leading to higher precision and efficiency.

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Improving supply chain resiliency in the industrial sector

IBM Business Partners

The industrial sector is facing a perfect storm when it comes to their supply chains: an outdated reliance on manual processes, raw materials demand that will likely outpace supply, as well as potential resource constraints. As an added benefit, this can reduce working capital tied up to carrying high M&R part inventory levels.

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Business process reengineering (BPR) examples

IBM Services

An early case study of BPR was Ford Motor Company, which successfully implemented reengineering efforts in the 1990s to streamline its manufacturing processes and improve competitiveness. Organizations of all sizes and industries implement business process reengineering.

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Leveraging generative AI on AWS to transform life sciences

IBM Business Partners

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances. Why IBM Consulting for generative AI on AWS?

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FDA FSMA: Providing value beyond compliance

IBM Services

The supply chain plays a pivotal role in delivering goods and services to both businesses and consumers, serving as the connective thread between industries, nations, communities and all components of the value chain. Access analytics for product lifecycles for inventory management, distribution, freshness and cold chain.

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What is a Digital Twin and when you might need one?

Vilmate

In this article, we’ll delve deeper into the world of digital twins and explore their diverse applications across industries. Dr. Michael Greaves, a professor at the University of Michigan, pioneered using digital twins in manufacturing and proposed the software concept for this emerging technology. Training and modeling.