At it Cloud Next conference in San Francisco today, Google is announcing new machine learning (ML) capabilities in its BigQuery cloud data warehouse service. This new service within a service is, ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

Success in Google Ads hinges on how well you use your data. With AI-driven features like Smart Bidding, traditional PPC ...

There are still a lot of obstacles to building machine learning models and one of those is that in order to build those models, developers often have to move a lot of data back and forth between their ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. Two of the greatest obstacles to getting started with today’s deep ...

Looker is integrating its platform with Google Cloud BigQuery ML (BQML), accelerating the time-to-value of data science workflows. With Looker and BigQuery ML, data teams can now save time and ...

Google is announcing several updates to its data analytics products at its Google Cloud Next developer conference today. The company wants to make it easier to move data to Google’s cloud, manipulate ...