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2 January 2023
Artificial Intelligence (AI) is one of the most promising technologies for growth today. Recent data indicate that organizations that have implemented AI grew from 4 to 14% in the last two years. Aviation-related businesses, like many others, have discovered its advantages and are utilizing it to improve performance, outpace the competition, and lower their bottom line over time.
Used mainly to improve customer service, simplify airline logistics, as well as increase security at airports, AI can also be found in cockpits, scheduling systems, and air traffic control. All this thanks to advances which facilitate the integration of intuitive features and processes into workflows.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI can harness the power of machines to solve complex problems that the human mind cannot reach.
AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. Generally speaking, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.
AI is important because it can give enterprises insights into their operations that they may not have been aware of previously and because, in some cases, AI can perform tasks better than humans. Particularly when it comes to repetitive, detail-oriented tasks like analyzing large numbers of documents to ensure relevant fields are filled in properly, AI tools often complete jobs quickly and with relatively few errors.
The aviation sector is growing fast and will continue to grow. The most recent estimates suggest that demand for air transport will increase by an average of 4.3% per annum over the next 20 years. Logistical difficulties would surely arise for people in the air transportation industry as more passengers mean more aircraft, more airports, and more pilots. AI will help handle some of these challenges. Some current or upcoming applications include the following:
Until now, AI in aviation has mainly been utilized on the ground. Machine learning has been able to find patterns and anomalies in massive data sourced from aircraft and engines.
Adopting AI in the aviation industry will be challenging and could be a lengthy process. Nonetheless, its three main benefits, automation of cumbersome processes, enhancement of products and services, and accurate analysis of data, can help the industry tremendously, notably through improved decision making and streamlined business processes. Key aviation decision-makers need to act swiftly and decisively to further this digital transformation.