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How to run a large scale ML workflow on Dataflow ML for autonomous driving

Developing autonomous driving technology is a battle with data, both from a volume and data format point of view. Sources include point cloud 3D data obtained from LIDAR, video data obtained from multiple cameras, GPS position information, millimeter-wave radar, steering and various sensor information. Even in a busy city, less than 1% of the raw …

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Easily integrate machine learning models into applications with Vertex AI integration for Cloud Spanner

Cloud Spanner is a fully managed relational database that provides industry-leading  consistency and availability at any scale. Organizations of all sizes in industries like financial services, retail, and games rely on Spanner to run their mission critical applications, but efficiently running line-of-business applications is often not enough. They want to react to business or customer …