The meticulous data selection for data-driven technologies generates significant engineering inefficiencies. Sensor data lacks meta-information about content and context and is therefore hard to search.

In this free webinar, Mark Pfeiffer, CTO and Co-Founder of SiaSearch, discusses how data recordings can be made easily accessible through content-based search, and how this helps engineers to accelerate development and improve underlying datasets.

Key topics and takeaways:

• Providing fast and scalable data access is crucial for efficient ADAS and autonomous vehicle development
• For data-driven technologies, smart data can make the difference
• Identifying data which contributes the most to model performance and data which creates biases in the models is crucial for improving performance
• Manual work can deal with research settings but does not scale to the ever-increasing amount of data
• SiaSearch helps you to make the most out of your data and improves the quality of your datasets