AIA and EY Report Finds Scaling Barriers in Aerospace Digital Thread Adoption
Aerospace Industries Association and EY released new research identifying key obstacles preventing aerospace and defense companies from scaling digital thread technologies in a press release. The study, based on a survey of 57 industry leaders and executive interviews, shows that while 75 percent of organizations have implemented digital thread in some capacity, only 14 percent have achieved enterprise-wide deployment.
Digital thread refers to the integration of data across design, production, and operations to enable traceability and transparency. The report highlights that 56 percent of organizations remain in pilot or limited rollout phases, with execution, ownership, and data readiness as the primary barriers. Only 29 percent of respondents reported that their enterprise data is standardized, governed, and accessible, limiting the ability to connect workflows and apply analytics or artificial intelligence.
The study also notes that 71 percent of leaders expect the greatest value from digital thread to come from predictive analytics and insights enabled by AI. However, these outcomes depend on establishing a mature data foundation supported by clear governance and sustained strategic commitment.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Defense AI Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Defense
Nov 6 Pentagon Awards Machina Labs $9 Million Drone Manufacturing Contract Nov 6 TEKEVER Plans Denmark Hub as EIFO Joins $580 Million Round Nov 5 Axon Invests $1.2 Billion in Skydio Nov 5 Shield AI to Acquire Echodyne for $5.3 Billion Nov 5 Newtype Industries Ends AI Artillery Software Tests in UkraineMore from Enterprise
Nov 7 Innodata revenue rises 53% to $95.6 million as it raises 2026 growth outlook Nov 6 Kihan launches Constitutional Computing to authorise AI agent actions before they run Nov 5 Applied Optoelectronics posts $269.9 million Q3 revenue Nov 5 Microsoft Brings Claude Processing Into EU Data Boundary by End of 2026 Nov 5 Mistral Expands Studio With Managed Agents and AppsEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Further finds 69% of companies have not scaled AI
Air Adds Agentic Workflow Tools to Defense Readiness Platform
CompTIA says enterprise AI is shifting toward risk management
Deloitte Survey Finds 28% of Companies Report AI Revenue Gains
Schneider Electric Survey Finds Faster Industrial AI Adoption in US
Daily AI Brief: the AI news that matters, in your inbox.