Introduction
This is Abe from the Lakehouse Department of the GLB Division. I wrote an article summarizing the content of the session based on the report by Mr. Kanamaru, who is participating in Data + AI SUMMIT 2023 (DAIS) on site.
This time, I will talk about JetBlue's real-time AI and ML digital twin efforts. The talk was delivered by JetBlue Data Science Operations Manager Derrick Olson and Member Rob Bajra. The theme and purpose of the talk is how JetBlue uses real-time AI and ML to reduce latency and improve customer experience. This lecture was aimed at engineers interested in data and AI, business people interested in the aviation industry, and managers interested in digital transformation.
Introduction of JetBlue and Purpose of Utilizing AI/ML
Passion for customer experience
JetBlue is an airline with a passion for customer experience, serving over 100,000 customers on over 1,000 flights. They aim to use real-time AI (Artificial Intelligence) and ML (Machine Learning) to reduce delays and improve customer experience.
Utilization of AI and ML
JetBlue utilizes a platform called Databricks to leverage real-time AI and ML. Databricks is a cloud-based service that enables efficient large-scale data processing and machine learning. JetBlue uses the platform to build digital twins to reduce latency and improve customer experience.
What is a digital twin
A digital twin is a technology that digitally reproduces physical systems and processes in the real world for simulation and analysis. JetBlue can leverage the digital twin to identify the cause of flight delays and take appropriate action.
About the latest concepts, features and services
Real-time AI and ML
JetBlue leverages real-time AI and ML to quickly predict and respond to flight delays. This allows you to provide your customers with more accurate information and reduce the frustration of delays.
Leveraging Databricks
Databricks is a distributed data processing platform based on Apache Spark, capable of processing large amounts of data at high speed. JetBlue leverages Databricks to analyze flight delay data in real time and take appropriate action.
Improve customer experience
JetBlue aims to improve customer experience by leveraging AI and ML. By predicting and mitigating delays in real time, you can provide your customers with more accurate information and reduce the frustration caused by delays.
Summary
JetBlue aims to leverage real-time AI and ML to reduce latency and improve customer experience. Leverage Databricks to build a digital twin, identify the cause of flight delays, and take appropriate action. This allows you to provide your customers with more accurate information and reduce the frustration of delays. Keep an eye on JetBlue's efforts in the future!
Conclusion
This content based on reports from members on site participating in DAIS sessions. During the DAIS period, articles related to the sessions will be posted on the special site below, so please take a look.
Translated by Johann
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