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Google has announced that it will embed machine learning into its cloud to help developers build smarter applications with their data.
Cloud Machine Learning will take the technology currently used for Google Now, Google Photos and voice recognition in Google Search, allowing scientists and developers to build machine learning models using the company's open-source TensorFlow software library.
Fausto Ibarra, director of product manager for Google Cloud Platform, said: "Hundreds of different big data and analytics products and services fight for your attention as it's one of the most fertile areas of innovation in our industry.
"This is an area where Google Cloud Platform has invested almost two decades of engineering, and today we're announcing some of the latest results of that work."
The tool will be compatible with multiple data formats, and will be fully integrated with Cloud Platform products including Google Cloud Dataflow, Google BigQuery, Google Cloud Dataproc, Google Cloud Storage, and Google Cloud Datalab.
Music streaming service Spotify recently moved its infrastructure to Google's Cloud Platform, having previously relied on Amazon Web Services (AWS). Google plans to open 12 new datacentres in a push to catch up with rivals such as AWS and Microsoft Azure.
"The Cloud Platform team is super excited about 2016. Some of the biggest brands in the world like Spotify, Atomic Fiction and Khan Academy are using our big data services. We look forward to seeing the innovative ways you'll use these new products," added Ibarra.