3 | Challenge your peers: How can BI and data analytics drive the development integration of autonomous vehicles efficiently across their lifecycle?

3 | Challenge your peers

Monday, March 16

05:05 PM - 06:05 PM

Live in Munich

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How can data analytics support each stage of the AV development lifecycle, from prototyping to deployment and maintenance, and what BI tools are most useful at each stage?
To what extent does data standardization impact data integration and interoperability among various AV models and manufacturers, and what are the BI challenges involved in achieving this standardization?
In what ways are machine learning techniques being utilized within BI to draw insights from AV-collected data, such as sensor readings and driving patterns, to improve decision-making?
Which specific BI applications or algorithms are demonstrating potential in advancing AV performance, safety, and efficiency, and how can they be scaled for real-time use?
In what ways can BI aid in assessing the accuracy and reliability of data from multiple sources, such as cameras, LiDAR or GPS, in AVs?

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