Drone Fleet Management Software: design, maintenance and mission planning for UAS

AI & Machine Learning-Powered Enterprise Aviation Software

By Mike Ball / 11 Nov 2021

Ramco AI and ML softwareRamco has released a whitepaper detailing how artificial intelligence (AI) and machine learning (ML) technologies can be used to improve the aerospace, defense and UAV (unmanned aerial vehicle) industries by significantly enhancing process automation, productivity, cost reduction, design cycle time reduction, planning and execution, and more.

Download the full whitepaper from Ramco’s website

The whitepaper covers:

  • How AI and ML engines can combine the analysis from aircraft records, OEM-based maintenance programs, and real-time health data from IoT sensors to predict the immediate execution of short and long-term maintenance plans for aircraft
  • How AI and ML technologies help in achieving higher aircraft availability across complete fleets, with lower cost of operations, at higher levels of safety
  • How Ramco’s software has helped its customers with discrepancy reporting, part recommendation, smart inventory management, predictive maintenance, and more

As the technology matures and becomes mainstream, AI & ML will play an increasing role in the business and operational strategies of aviation, aerospace and drone enterprises. To find out more, download the full whitepaper from Ramco’s website.

To learn more, contact Ramco: Visit Website Send Message View Supplier Profile
Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact