Cloud Next ’19 : Google’s BigQuery ML needs big changes to compete

On the eve of Google Cloud Next ’19, experts assess the impact of Google’s BigQuery ML since its release and their hopes for the automated machine learning tool’s future.

When Google first released BigQuery ML, it was accompanied by much buzz, but experts said the suite of SQL extensions has since been eclipsed by other automated machine learning platforms. Many are looking to the Google Cloud Next ’19 conference in San Francisco to see what updates are in store for BigQuery ML and how Google plans to keep pace in an increasingly competitive field.

At one anticipated session at Google Cloud Next, the tech giant is set to announce a host of new models and features focused on improving and simplifying BigQuery ML’s data science and machine learning capabilities. Google will be joined onstage by, a customer that is expected to elaborate about its migration to BigQuery ML and how it’s using new models to assess data quality.

>> Read : Google’s BigQuery ML needs big changes to compete

Source : Search Business Analytics

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