Paul Peeling, MathWorks
Engineering teams have more data available to them than ever before. Data from tests, operations, production, and other sources present opportunities for data-based design decisions and new data-based products and services. But many teams struggle to come up with a consistent set of tools and processes for extracting value from this data.
This talk presents a variety of new MATLAB® features for accessing, organizing, and analyzing data, with a special focus on the MATLAB datastore framework for working with large collections of files and MATLAB datatypes for organizing and preprocessing sensor data. See how these tools enable engineering teams to grow from ad-hoc data analysis to building centralized tools for organisation-wide use, laying a foundation for production apps and analytics.
Recorded: 2 Oct 2019
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