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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.
AI is probably the biggest opportunity companies have in current technology disruption. AI has come to stay and it's just starting to change the way companies do business. Unsure of how and where to invest to generate the greatest returns, most retailers have not taken advantage of what AI has to offer. Waiting is not a winning option. Retailers must dive into AI's full potential to survive in the next five years.