The world is evolving and changing far more quickly than it has in the past. So much so that in the majority of industries, including aviation, change has become inevitable. The industry's ability to adapt, adopt, and thrive will be put to the test as a result of change; those who embrace it will prosper, while those who do not face the possibility of falling behind. Among the most recent developments in aviation are:
- Automation and technology
- Sustainability
- Security and safety
- Focus on the customer
- Partnerships and strategic alliances
- Diversity and hiring practices in the workforce
Let's take a closer look at these new developments and talk about how airlines and aviation businesses can adapt to the quickly shifting landscape.
Automation and Technology as a Trend in the Aviation Sector
A new era of data generation and collection has begun for the airline industry. However, unless the right automation and technology are used to make the data relevant, it is worthless. Therefore, members of the aviation industry can convert pertinent aspects of their processes into quantifiable data, analyze it, and use it to obtain important insights and make well-informed decisions by properly implementing big data analytics and artificial intelligence (AI).
Analytics of Big Data
Since the data gathered for the aviation industry's operations comes from a variety of pipelines, such as aircraft sensors, inventory management software, employee input, flight information, passenger feedback, and airport data, there is an abundance of data available.
In order to make more data-driven decisions to improve customer experience, employee involvement, revenue generation, operational reliability, proactive part procurement, etc., members of the aviation industry can use big data analytics to try to understand how the layers fit together with the aid of artificial intelligence.
In order to make more data-driven decisions to improve customer experience, employee involvement, revenue generation, operational reliability, proactive part procurement, etc., members of the aviation industry can use big data analytics to try to understand how the layers fit together with the aid of artificial intelligence.
Artificial Intelligence
Members of the aviation industry are currently using AI technology to enhance everything from maintenance scheduling to weather awareness and its impact on operations. Businesses can use AI technology to analyze hundreds of millions of data points and apply predictive machine learning models, including supervised and unsupervised learning, to make data-driven decisions that work.
AI is already being used in the aviation sector for a number of purposes, but its influence is still relatively new. As members of the aviation industry discover ways to leverage generative AI—which uses machine learning and deep neural networks to produce outputs not predefined by human programmers—new applications will continue to surface in the years to come.
As an example, let's look at ePlaneAI.
AI is already being used in the aviation sector for a number of purposes, but its influence is still relatively new. As members of the aviation industry discover ways to leverage generative AI—which uses machine learning and deep neural networks to produce outputs not predefined by human programmers—new applications will continue to surface in the years to come.
As an example, let's look at ePlaneAI.