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Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
Google Cloud Dataflow was announced in June, 2014 [3] and released to the general public as an open beta in April, 2015. [4] In January, 2016 Google donated the underlying SDK, the implementation of a local runner, and a set of IOs (data connectors) to access Google Cloud Platform data services to the Apache Software Foundation. [5]
Google Cloud Shell is an online, browser-based command-line environment provided by Google Cloud Platform (GCP). It is a Debian-based virtual machine with a persistent 5 GB home directory, allowing users to manage their GCP resources and projects directly from their web browser.
Google data centers are the large data center facilities Google uses to provide their services, which combine large drives, computer nodes organized in aisles of racks, internal and external networking, environmental controls (mainly cooling and humidification control), and operations software (especially as concerns load balancing and fault tolerance).
Thomas Kurian (born 1966) is an Indian-American business executive and Chief Executive Officer of Google Cloud (under Alphabet Inc.) since 2019.In 2024, Gold House recognized him as one of the most impactful Asians due to his extensive experience in the areas of leadership, engineering and enterprise relations.
The cloud computing arm of Alphabet Inc said on Thursday it had formed a partnership with startup Hugging Face to ease artificial intelligence (AI) software development in the company's Google Cloud.
Predictive analytics, or predictive AI, encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.
The initial work of developing the momentum and use cases that led to the CMIS proposal was conducted by the iECM Initiative [4] sponsored by AIIM. This ongoing project [5] to foster interoperability [6] among ECM systems is supported by the collaborative efforts of governmental, commercial, vendor, and consulting organizations.