Extract value from data with advanced analytics

Overview

Infosys Semiconductor practice addresses the ecosystem needs of constituents, be it business, technology or process, by capitalizing on advanced data analytics. We develop a big data environment to acquire, aggregate, analyze, and leverage structured and unstructured data across the value chain. Our automated data management solutions seamlessly integrate, categorize and process real-time data from disparate sources, channels and partner ecosystems. Our algorithms for diagnostic, predictive and prescriptive analysis combine live data streams with historical and contextual data, empowering engineering and operations teams with actionable insights.

Infosys data management solutions ensure data quality, which boosts accuracy of multidimensional AI / ML models for real-time analysis. Our cloud-hosted analytical frameworks extract patterns from two-dimensional images and wafer maps, correlate data, and identify data interdependency across domains. This enhances the accuracy of cognitive computational mechanisms, be it recommendations for default machine settings in a multi-die production system or demand prediction for a specific geometry.

ML-driven analytical solutions address strategic priorities across lifecycle phases: in-design – enhance chip power and performance; ramp-up – reduce bring-up time, maximize output, and accelerate economies of scale; and fabrication – improve quality, yield and throughput while rationalizing costs. Further, analytical insights enable informed decision making to improve KPIs such as overall equipment effectiveness, cost of operations, and delivery time.