Chris Maestas

Maestas is the chief executive architect for IBM data and AI storage solutions with over 20 years of experience deploying and designing IT systems for clients in various spaces. He has experience scaling performance and availability with a variety of file system technologies. He has developed benchmark frameworks to test out systems for reliability and validate research performance data. He also has led global enablement sessions discussing how best to position unstructured software-defined storage like Scale, Ceph, Cloud Object Storage and Tape in Cloud, Hybrid, Edge, Container or AI spaces.

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Presentation

Accelerate AV development with data-driven automotive AI

Developing AVs is a time-intensive and complex process that requires best-in-class data and AI training infrastructure. Companies developing software-defined vehicles need to accelerate time-to-market and minimize costs without sacrificing safety, combining vehicle sensors, map data, telematics and navigation guidance using machine learning and data fusion techniques. Data- driven development is not without its challenges. One of the biggest challenges is data collection and integrity, as data needs to be collected accurately and consistently to drive accurate decisions. Additionally, data-driven development requires data analysis capabilities, as information needs to be analyzed and interpreted to make meaningful decisions. Finally, data-driven development requires collaboration between stakeholders and technical teams to ensure that data is being used appropriately. In close collaboration with Red Hat and Nvidia, IBM will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored AI applications to drive innovation. This presentation examines how to best leverage AI-powered data infrastructures and software to accelerate AV development and achieve maximum efficiency.