Google Cloud tools aim to ease machine-learning, cross-cloud analytics

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Google Cloud tools aim to ease machine-learning, cross-cloud analytics

Google Cloud Platform (GCP) is aiming to ease data engineering tasks for enterprises with the release of new tools and features that support the development of advanced machine learning applications and provide cross-cloud analytics capabilities.

The company claims that its new dedicated data and machine learning tools will help enterprises straighten out systemic data inefficiencies.  According to an Accenture study, only 32% of companies surveyed reported that they can realize and measure tangible value from data. The low percentage is a result of contributing factors such as lack of leadership skills, slow-moving data and siloed data repositories.

To read this article in full, please click here

Google Cloud Platform (GCP) is aiming to ease data engineering tasks for enterprises with the release of new tools and features that support the development of advanced machine learning applications and provide cross-cloud analytics capabilities.

The company claims that its new dedicated data and machine learning tools will help enterprises straighten out systemic data inefficiencies.  According to an Accenture study, only 32% of companies surveyed reported that they can realize and measure tangible value from data. The low percentage is a result of contributing factors such as lack of leadership skills, slow-moving data and siloed data repositories.

To read this article in full, please click here

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