AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable predictive maintenance of airplanes. AI algorithms analyze the flight data like route distance, altitudes, mileage, fuel use, aircraft type, weather conditions and a lot of other data points.AI in aviation has the potential to increase urban air mobility, improve airline safety, automate flight scheduling, and enable p

2. WHAT IS AI
• Algorithms to make machines that imitate
humans (learning , reasoning, and making
decisions )
• Big data refers to the storage and processing
of massive amount of data. AI is the
consequence of big data analysis.

3. We frequently know how AI is used in specific industries and
sectors .
So today we are going to study how AI is used in aviation
industry. How this intelligent technology helps in building
autonomous diverse aviation and travel companies in offering
better products and services
AI in aviation is a broad topic, as this technology can be used
with ease to support air transportation, travel, and air force
companies both in the skies and on the ground. For starters,
let’s take a look at how AI in aviation is changing this vast
industry.

5. • air traffic management (ATM) and control
(ATC) were almost exclusively based on
human work and experience.
• companies and airports all over the world
begin to realize that AI in aviation comes with
some significant benefits.
• like flight planning, flow management, and
safety assessments can be, at least to some
extent, automated.

6. • FMS is based on these intelligent technologies.
• FMS is a specialized computer system that
automates a wide variety of in-flight tasks.
• FMS takes care of the flight plan, navigation, and
plane’s position. It’s indispensable in modern
aircraft.
• The idea of FMS is simple–to make the most of
available onboard and external data, primarily
concerning weather conditions, route efficiency,
and ongoing air traffic. To show you what’s about
to happen shortly

7. Air traffic control
When it comes to air traffic control, the main objective is to keep
everyone safe.
ATC is typically managed from the control tower, where dozens of ATC
specialists guide and communicate with the nearby planes and manage
their landing and taking off.
ATC work can not be fully automated. human experts are still necessary in the
control towers. there are some critical elements that need to be taken into
consideration:
• Landing sequence
• Individual pilot behavior
• Accidents and failures
• Weather conditions
• Sudden situations (like emergency landings), etc.

8. Other applications of AI in aviation
AI has two major purposes:
• To reduce costs
• To improve efficiency

9. AI in aviation: Dynamic ticket pricing
If you’ve ever booked a flight ticket, you know
it’s an experience
• The same flight can have different prices depending
on your flight comparison engine.
• Prices also differ depending on the departure time,
destination, flight distance, and the number of
available seats.
• The cost of the same ticket can change by the minute.

10. AI in aviation: Delay predictions:-
Delays are unfortunately common, and they
depend on dozens of different factors.
• Modern ML-based applications can help
airports and airlines all over the world predict
delays and inform passengers as quickly as
possible. as customers will have more time to
re-book their flights or make other
arrangements if necessary.

11. AI in aviation: Flights optimization
Modern ATM systems enable airlines and air
transportation companies to set optimal flight
routes. This way, they can lower costs, save time
and fuel.

12. AI in aviation: Crew scheduling
• Airlines have to deal with complex networks of
employees, and that’s including flight attendants, pilots,
engineers, and other specialists, making necessary pre-
flight preparations.
• Intelligent WFM systems help airlines in scheduling
crew members for every flight without unnecessary
complications or delays. This way, each flight has an
ensured number of crew members and can go as
scheduled, and potential errors are reduced to a
minimum. It’s also the best way to use the full potential
of every crew member.

13. AI In aviation: Predictive maintenance
• one of the most impressive aspects of the entire
AI industry. With these intelligent solutions,
airlines can predict flight delays, potential
complications, but also necessary repairs and
maintenance procedures.
• Like all other machines and vehicles, aircraft
need appropriate maintenance so they can
remain fully functional and safe.

14. Examples of companies working with AI in aviation
Boeing:-
Boeing is a perfect example of a company that
uses AI on the ground to improve their
production processes. In early 2019, Boeing informed the market that they are
using AI in aviation to drive even more efficiency from precision automation
equipment assembling aircraft in South Carolina, US.
Airbus:-
Airbus sees the major advantage of AI in aviation in fuel savings,
lower operating costs, and support for pilots during their work.
Currently, they are working on four crucial applications of AI in
aviation.