Edge data management for software-defined vehicle

Brian Carlson, Global Marketing Director, NXP | LinkedIn

Sasan Montaseri, President, ITTIA | LinkedIn

Ryan Phillips, Senior Software Engineer, ITTIA | LinkedIn

Software-defined vehicles (SDVs) using time-series data management and machine learning are poised to revolutionize the automotive market. Efficient access to vehicle data can enhance modern vehicles in areas such as electrification, autonomous driving, connected vehicle services and vehicle health.

In this free webinar, NXP and ITTIA explains how to develop advanced applications using smart edge data management for SDVs.

Key topics and takeaways:

  • Understand the importance of edge time-series streaming, analysis and storage
  • Find out how IoT edge data management is disrupting the automotive industry
  • Discover techniques for analyzing and managing a wide range of time-series data
  • Learn about the benefits of ITTIA DB data management and NXP S32 automotive platforms for SDVs

Meet the experts

Brian Carlson

Global Marketing Director, NXP

Sasan Montaseri

President, ITTIA

Ryan Phillips

Senior Software Engineer, ITTIA