Chris Maestas

CTO for data and AI storage solutions

Chris has over 25 years of experience deploying and designing IT systems for clients in many industries. His experience in scaling acceleration and resiliency with various file system technologies came from developing benchmark frameworks to test systems for reliability and performance. He has led global sessions discussing how best to position unstructured software-defined storage for file, object and tape solutions in cloud, on-prem, hybrid and now at the edge.

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Presentation

AI for ADAS/AD needs a solid data platform

From ChatGPT to generative world model for autonomous driving (AD), data for AI model training must be high performance, flexible and scalable. Data helps AI models identify and extract meaningful features from input data. Quality and depth of training data significantly affect the success of AI models. Training data provides examples and relevant information for AI models to learn from. The audience will learn about AI-powered computing for AV development; data-driven development; and how to accelerate AV development.