How to Build Safe AV Applications from Large Datasets
There is no shortage of data sources for training autonomous vehicle (AV) systems. From 2-D and 3-D images to LiDAR, you can easily have millions of data elements to manage. But it can be challenging to know what data is valuable, how to find it, and when to use it. Attend this webinar and learn how expert human-in-the-loop (HITL) annotators help you get the most out of your data by increasing its value and usability. You’ll walk away with a better understanding of how to:
Prioritize quality data for AV applications
Identify accurate data for AV models
Interpret data in context
Improve the quality and enrich your data through accurate annotation
Industry Executive, CloudFactory.
Alex Morales is an Industry Executive at CloudFactory. In his role, he helps innovators in the autonomous vehicle industry scale their AI initiatives. Alex has spent more than 15 years embracing big data analytics and autonomous systems, solving a variety of industry challenges by leveraging computer vision to mitigate risk, improve data quality, and accelerate innovation. Originally from Buffalo, NY, Alex holds a degree in Management Information Systems from University of New York Buffalo. Outside of work, Alex is active in the fitness community, enjoys competitive motorsports, and loves to travel.
Founder and CEO, Unstruk Data.
Kirk Marple, Founder and CEO of Unstruk Data is an entrepreneur, operator, and technologist. With over 25 years of experience, he started his career in media management and entertainment at Microsoft and while at General Motors, Kirk built prototype of “big data” ingestion and processing platform for video, LIDAR and vehicle telemetry, providing guidance for development teams on streaming for Autonomous Vehicles. He shares with us entrepreneurial, approach to collaborating with customers on product development and solutions for solving the biggest problems.
Sponsored By : CloudFactory
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