Turn to AI for proactive operations

Overview

Infosys Semiconductor practice leverages AI-powered analytical frameworks to optimize operational and technical performance, and eliminate over-engineering of systems, processes and facilities. Our AI / ML tools offer quantitative and predictive insights into processes – design, wafer fabrication, assembly, and testing; and cost overheads – assets, materials, facilities, and labor. Further, our simulation and modeling solutions address diverse scenarios and facilitate advanced diagnostics across manufacturing and supply chain operations to guide product and business strategies.

Infosys AI team uses contextual insights from enterprise data to create an end-to-end optimization loop from pre-silicon design to post-silicon validation, which helps develop a robust cloud-based ecosystem for compute-intensive and AI-enhanced chipsets. Moreover, predictive insights empower foundries, design houses, IDMs, and equipment OEMs to focus on sustainability.

The ability to identify underlying business issues and assess the impact of decisions on process and system dynamics helps mitigate risks while developing roadmaps for capability enhancement or process optimization. For instance, analytical insights help avoid unplanned downtime while modifying standard operating procedures to minimize maintenance events. Significantly, deep learning algorithms aggregate data from internal and external sources, including macroeconomic market trends and sales history, and share insights for capital budget planning – ramp down processing lines for older generation chipsets, add capacity to meet demand forecasts, and upgrade process installations for smaller process geometries.