Scale your business in real-time using ML in Microsoft Fabric Real-time Analytics

When flights are delayed or cancelled, airport and airline operations face a huge challenge: how to serve the thousands of affected passengers quickly and efficiently. You may have experienced the frustration of long queues, insufficient staff, lack of refreshments, or missing baggage. But what if there is a better way to handle this situation with the power of machine learning?
In this session, you will learn how Microsoft Fabric Real-time Analytics uses machine learning to solve the autoscaling problem for customer service. You will see how an ML model can:
• Predict the number of additional staff needed based on real-time data
• Prioritize and queue passengers based on their PNR information
• Optimize the allocation of resources and services
This session is for anyone who is interested in how machine learning can improve customer satisfaction and operational efficiency. You will get to see Senior Software Engineer showing code, queries, and ML models behind the scenes, as well as a live demonstration of the autoscaling in action.
Join us for this exciting technical session to discover how Microsoft Fabric Real-time Analytics can help you scale up your customer service with machine learning in real-time.