NP29 Applied AI in Aerospace

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Why AI?

AI is revolutionizing the aerospace industry by enabling smarter, safer, and more efficient operations. Its importance and urgency stem from the growing demand for air travel, the need for sustainable practices, and the competitive advantage AI offers in operational efficiency and innovation.

For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.


  1. Predictive Maintenance: Utilizing AI to predict equipment failures before they occur.
  2. Autonomous Flight: Developing fully autonomous drones and aircraft for various applications.
  3. Flight Optimization: Using AI for real-time optimization of flight paths to save fuel and time.
  4. Air Traffic Management: Implementing AI to manage complex air traffic systems more efficiently.
  5. Manufacturing Optimization: Leveraging AI to streamline production lines and reduce waste.
  6. Safety Monitoring: Employing AI to enhance monitoring of aircraft systems for potential issues.
  7. Cargo and Logistics Optimization: Optimizing cargo loading and route planning with AI.
  8. Customer Service: Using AI chatbots and virtual assistants to improve passenger experiences.
  9. Design and Simulation: Applying AI in the design process for aircraft and components.
  10. Space Exploration: Enhancing satellite positioning and space mission planning with AI algorithms.


(PDF, 24 pages, 10×10) This SoMe flipchart captures the main ideas from the paper, and you can post it to start an online conversation about AI in your industry with your colleagues, customers or partners.

(PDF, 2 pages, A4) This cheat sheet contains the main ideas from the paper, for your easy reference. Print it out on a double sided vertical A4, laminate and keep at hand for daily inspiration on AI.

To get started with AI, first do this:

  1. Invest in AI literacy and training for your team to understand its potential and applications.
  2. Partner with AI technology providers to pilot AI projects relevant to your operations.
  3. Collect and analyze data to identify inefficiencies where AI can drive improvements.
  4. Explore other resources on and check out the book “Explain for me AI”.
  5. Please contact us at for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Silvija Seres

Silvija Seres

Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on

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