From takeoff to landing and beyond AI will be embedded in the business aviation industry
As artificial intelligence (AI) begins to permeate practically every aspect of our lives, business aviation leaders are beginning to see the myriad ways AI will cut costs, improve safety, and increase efficiencies.
AI is poised to improve flight scheduling, predictive maintenance, onboard passenger entertainment, and freight pricing. Some AI software can prevent aircraft from hitting power lines or help avoid bird strikes which cost commercial aviators upward of US$1 billion annually. The technology can also detect ground-based objects such as cranes and masts, while offering landing guidance and runway incursion alerts.
The functionality uses aircraft-mounted cameras which feed the images to an onboard computer which analyzes the data in real-time. Some AI-facilitated improvements will begin long before an aircraft rolls onto a runway for its first flight. Aircraft engineering design teams can draw design insights from thousands of previous designs during development helping them to make better-informed decisions.
Adam Keating, CEO and co-founder at CoLab Software explains that “By improving processes at the product design stage, AI tools can reduce bill of materials costs by 50%, and reduce the risk of product delays, warranty claims and product recalls. This would reduce costs for aviation equipment manufacturers, and also mitigate the costs of product delays and warranty claims for airport and aircraft operators.”
Passengers will see benefits they may not realize were manifested by AI. Everything from keeping track of passenger preferences to their allergies and passport information will smooth their travel experience. The result will make what is sometimes a frustrating adventure into the uplifting experience we all can look forward to.
Top 3 Takeaways
- AI is weaving its way into business aviation
- AI-enabled business aviation will reduce costs and improve safety
- AI-enabled business aviation will improve passengers flight experiences.
Keywords: AI Today, AI, business aviation, air travel
