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Google Cloud Unveils 9 New Tools At First Data Cloud Summit

‘We fundamentally want to change…how companies are thinking of data from a technology-centric view to an ability-centric view,’ says Gerrit Kazmaier, Google Cloud’s new general manager and vice president for data analytics, databases and Looker.

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BigQuery ML Anomaly Detection And Dataflow Prime

BigQuery ML Anomaly Detection, developed to allow customers to more easily detect abnormal data patterns using BigQuery’s “built-in” ML capabilities, is now generally available. Customer use cases include bank fraud detection and manufacturing defect analysis.

BigQuery ML, which became generally available in 2019, enables users to create and execute machine learning models in BigQuery by using standard SQL queries.

Dataflow, meanwhile, is a managed service for executing a wide variety of data-processing patterns. The new Dataflow Prime, which Google Cloud plans to make available in the third quarter, will embed AI and ML capabilities to provide streaming predictions such as time series analysis, smart diagnostics that proactively identify bottlenecks and auto-tuning for increased utilization.

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