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Digital technologies will drive growth in aerospace manufacturing
Siloed systems across the aerospace industry ecosystems lead to slower and fragmented information exchange, hampering interoperability across the extended aerospace ecosystem. A neural aerospace enterprise, one that is resilient, adaptive, and intelligent, can autonomously predict production scenarios and achieve efficiency and precision through self-health monitoring and real-time maintenance. However, a successful neural enterprise requires architecting a neural ecosystem consisting of three layers:
The sensing layer: Data from aircraft, engines, and partner ecosystems can enable data monetization, create new services, and support better relationships.
Computational digital connected network: Emerging technologies can enhance networking and communication, and platform technologies can enhance value to customers through partner ecosystems.
The response layer: Bringing together the previous two layers and connecting network nodes to create a future ecosystem with enhanced resilience.
About the Author
Image of Dr Sandeep ‘Sandy’ Muju
Dr Sandeep ‘Sandy’ Muju
Dr Sandeep ‘Sandy’ Muju heads the Aerospace and Defense Practice for Global Manufacturing at TCS.
Image of Arpita Bhattacharya
Arpita Bhattacharya
Arpita is a Research Analyst in the Manufacturing domain, enabling strategic decisions and deals support for TCS.
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