APC 技術ブログ

株式会社エーピーコミュニケーションズの技術ブログです。

株式会社 エーピーコミュニケーションズの技術ブログです。

Jet Streaming Data and Predictive Analytics

Introduction

This is May from the Lake House Department of the GLB Division.

"Jet Streaming Data and Predictive Analytics: How the Lakehouse and Apache Spark "™ Enable Collins Aerospace to Keep Aircraft Flying" Lakehouse and Apache Spark™ share how to enable Collins Aerospace to keep aircraft flying.

This session describes how Collins Aerospace leverages Lakehouse and Apache Spark™ to expedite flight delays and cancellations.

The presenter is Sanket Amin, data science and analytics team leader and columnist at Collins Aerospace. This session was held for engineers interested in data & AI, business people interested in the aviation industry, and students who want to keep their knowledge of data analysis and machine learning intact.

Introducing Collins Aerospace and Ascentia

On Sanket Amin's career path and the success of Collins Aerospace

Sanket Amin talks about his career path. He has leveraged his experience in the aerospace industry to build on the success of Collins Aerospace.

Minimize flight delays and cancellations with Ascentia, developed by Collins Aerospace

Collins Aerospace developed a system called Ascentia as a solution to minimizing flight delays and cancellations. The system leverages jet streaming data and predictive analytics to provide real-time insight into flight operations and take appropriate countermeasures.

Leveraging Lakehouse and Apache Spark™

Ascentia leverages Lakehouse and Apache Spark™. These technologies make it possible to efficiently process large amounts of data and perform predictive analytics. Specifically, the following functions are realized.

  1. Collection and analysis of jet streaming data
  2. Risk assessment of delays and cancellations using predictive analytics
  3. Real-time understanding of operation status and proposal of countermeasures

These features help minimize flight delays and cancellations.

About the latest concepts, features and services

The session also touched on the latest concepts, features and services. For example, the evolution of predictive analysis using AI and machine learning and the efficiency improvement of data processing using cloud services were introduced. These technological advancements will further improve Ascentia's performance and help reduce flight delays and cancellations more effectively.

Summary

Developed by Collins Aerospace, Ascentia is a system that uses jet streaming data and predictive analytics to minimize flight delays and cancellations. Leverage Lakehouse and Apache Spark™ to efficiently process large amounts of data and perform predictive analytics. Advances in the latest concepts, features and services will further improve Ascentia's performance and help reduce flight delays and cancellations more effectively.

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

www.ap-com.co.jp

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