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The world’s leading airlines use artificial intelligence to improve operational efficiency, avoid costly mistakes, and increase customer satisfaction. Machine learning possibilities include fleet & operations management, development of autonomous machines and processes, and predicting the passenger behavior.
Telecom operators use machine learning to improve customer satisfaction and increase network reliability. To name a few, telecoms can benefit from predictive modelling, process analysis, fraud detection, churn prediction, and dynamic resource allocation.
There are many potential use cases for AI in the pharmaceuticals and healthcare industry, ranging from patient treatment to facilitating the R&D process. Machine learning algorithms’ ability to analyze large sets of data and discover meaningful patterns makes it a perfect match for the pharma industry.
From algorithmic trading to customer retention, big players in finance sector are using AI to gain competitive advantage. AI can bring value across automated portfolio management, products recommendations, risk assessment, fraud detection, image recognition, and much more.