Industrial AI transforms aerospace sector with tailored solutions
Aerospace industry adopts bespoke Industrial AI to enhance productivity, compliance, and knowledge transfer while addressing security concerns
Artificial Intelligence (AI) is rapidly transforming industries, and aerospace is no exception. Unlike generic AI tools like ChatGPT, specialized Industrial AI solutions are being developed to meet the stringent requirements of aerospace engineering, manufacturing, and maintenance.
IFS Leads the Industrial AI Charge
Enterprise software company IFS aims to become the global leader in Industrial AI by 2029. Through strategic acquisitions (like Copperleaf and Poka) and private equity investments, IFS is building a comprehensive AI ecosystem. Their IFS Cloud platform already hosts 200 Industrial AI applications, with updates released biannually.
Aerospace-Specific Applications
IFS focuses on capital-heavy industries, with a dedicated aerospace/defense business unit. Their solutions cover:
- Regulatory compliance (Part M, CAMO, ITAR)
- Maintenance scheduling optimization
- Knowledge transfer for aging workforces
- Test process integration
"AI brings automation that increases productivity across workflows," says Vijay Hadavale, IFS's Aerospace Director.
Addressing Security and Hallucination Concerns
Aerospace companies face unique challenges adopting AI:
- Cybersecurity requirements (CMMC, FedRAMP, ISO 27001)
- Data residency regulations
- AI hallucination risks in mission-critical systems
"Planes can fall out of the sky. It's mission-critical," emphasizes IFS CEO Mark Moffat, noting human oversight remains essential.
The Future of Industrial AI
Key emerging applications include:
- Predictive AI for equipment failure forecasting
- Generative AI for engineering designs
- Agentic AI for autonomous decision-making (with limitations)
"Industrial AI goes beyond consumer chatbots to provide actionable insights," concludes Stephanie Poor, IFS UKI Managing Director. As geopolitical tensions increase demand, aerospace firms leveraging these tools may gain significant competitive advantages.
Related News
How Leading Companies Succeed with AI Strategy Short and Long Term
CIOs share proven strategies for delivering immediate AI value while building long-term capabilities, based on real-world examples from AMD, Lenovo, and others.
Build vs Buy AI Agents for Industrial Digital Transformation
The decision to build or buy AI agents for industrial operations goes beyond cost, requiring alignment with digital ambitions and operational needs.