数据隐私、来源和背景：挑战和前景.pptx

1、Digital Twins in Industry:Lessons from Aerospace and Healthcare,Nabeel QureshiNYSDS,09/17/2024,Bio,CEO of new company(stealth),working on privacy-preserving healthcare data infrastructure8 years at Palantir Technologies:NIH lead,led implementation for N3C enclave,one of largest patient-level dataset

2、s for research worldwideBuilt digital twins in aerospace at Airbus,ToulouseVisiting Scholar with the Program on Artificial Intelligence and Progress at Mercatus Center(GMU)Recent Special Study:Compounding Intelligence:Adapting to the AI Revolution(2024)https:/www.mercatus.org/research/research-paper

3、s/compounding-intelligence-adapting-ai-revolution,The AI diffusion gap,Real-world complexities(e.g.,last mile problem in self-driving cars)Regulatory hurdles and high deployment standards(e.g.,medicine)Data integration issues:Siloed data in different databasesNeed for a single source of truthRequire

4、ment for common vocabulary(ontology),Digitizing business,Creating a unified data foundationMapping to common ontologiesEnabling AI operations at an organizational level,Case Study:Airbus A350 Production,Goal:Quadruple A350 production without compromising safety or qualityChallenges:5 million partsPr

5、oduction across 4 countries(England,Spain,France,Germany)Assembly in Toulouse,Airbus:Data Integration,Integrated information into Palantir Foundry:SchedulesCrew shiftsParts inventoryDeliveriesDefects(non-conformities)Full data provenance to original sources Semantic search for troubleshooting past i

6、ssues,Airbus:Results,User interface for planning and troubleshooting 33%acceleration in A350 delivery Expanded to entire business digitization:Petabyte-scale live streaming from thousands of sensor systemsConnected entire Airbus fleet for predictive maintenanceDigital twin of Air