Google Cloud: Big Data, IoT and AI Offerings - Datamation

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Continuing Datamation's series on big data, Internet of Things (IoT) and artificial intelligence offerings from major cloud providers, it's time to switch gears from Microsoft Azure to Google Cloud Platform. And given the vast amounts of data that powers the search giant's services, it's only fitting to start with big data and analytics.


Tellmeplus announces support for Google Cloud IoT Core

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Tellmeplus, a software vendor specialized in Artificial Intelligence (AI) applied to Big Data, announced support for Google Cloud IoT Core, a fully managed service that allows users to easily and securely connect, and manage devices at global scale. Cloud IoT Core, together with other Google Cloud services, such as Pub/Sub, Dataflow, Bigtable, BigQuery, and Data Studio, provide a complete solution for collecting, processing, analyzing, and visualizing IoT data in real time to support improved operational efficiency. Predictive Objects deploys artificial intelligence where the data is produced and where decisions need to be made: at the edge of the network and in the connected objects themselves. The integration of Predictive Objects with Google Cloud IoT Core makes it easy for joint customers to deploy and run predictive models in the Google Cloud Platform and inside the devices the platform manages. Key features of the new Cloud IoT Core solution: End-to-end security - Enable end-to-end security using certificate-based authentication and TLS; devices running Android Things or ones supporting the Cloud IoT Core security requirements can deliver full stack security.


Google makes Cloud IoT Core service generally available

ZDNet

Google on Wednesday announced its Cloud IoT Core service to connect and manage IoT devices is now generally available, after spending time in public beta since September 2017.


Solution guide: Building connected vehicle apps with Cloud IoT Core

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With the Internet of Things (IoT), vehicles are evolving from self-contained commodities focused on transportation to sophisticated, Internet-connected endpoints often capable of two-way communication. The new data streams generated by modern connected vehicles drive innovative business models such as usage-based insurance, enable new in-vehicle experiences and build the foundation for advances such as autonomous driving and vehicle-to-vehicle (V2V) communication. Through all this, we here at Google Cloud are excited to help make this world a reality. We recently published a solution guide that describes how various Google Cloud Platform (GCP) services fit into the picture. Vehicles can produce upwards of 560 GB data per vehicle, per day.


AWS vs Azure vs Google Cloud Platform – Internet of Things

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Choosing the right cloud platform provider can be a daunting task. Take the big three, AWS, Azure, and Google Cloud Platform; each offer a huge number of products and services, but understanding how they enable your specific needs is not easy. Since most organisations plan to migrate existing applications it is important to understand how these systems will operate in the cloud. Through our work helping customers move to the cloud we have compared all three provider's offerings in relation to three typical migration scenarios: Choosing the right strategy will depend on the nature of the applications being migrated, the business landscape and internal constraints. A full breakdown and comparison of cloud providers and their services are available in this handy poster.