Google wants to make it easy for businesses to take use of the machine learning uprising with a new service for creating models for future prediction.
Google announced at the GCP Next conference in San Francisco of a new Cloud Machine Learning service for businesses to make use of creating a conventional machine learning model.
Users would handle data stored in Google's other cloud service, where the Cloud Machine Learning manages data intake, then utilizes the machine learning model in result to making a prediction.
Head of Google's Brain deep-learning research project, Jeff Dean explained that the service is designed to help companies make predictions for their business with the use of machine learning. He further demonstrated the service creating a model based on the prediction of a user clicking on an advertisement, it revolves around anonymized data from Criteo's marketing software company.
Cloud Machine Learning is developed on TensorFlow product's top open-source of Google, that also offers capable intelligence into many other Google products like Inbox and Photos, and it is considered as the most well recognized project for machine learning on GitHub, which also helped support the AlphaGo AI.
Google's tools are the key that remains relevant in the cloud market, where Microsoft Azure and Amazon Web Services are already leading machine learning services of their own built for people to easily create machine learning models, then intakes them in the cloud.
Eventually what will make Cloud Machine Learning stand out is for Google to export its TensorFlow model from its cloud to companies that will allow them to use it in other settings such as on-premises datacenters.
Google believes that these potentials will attract firms wanting to create smart application to its cloud, considering the track record of the company's innovation in machine learning.
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