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    Google AI Experiments: Helping You Appreciate Marketing Automation

    Fact checked by Vahe Arabian
    Vahe Arabian

    Founder and Editor in Chief of State of Digital Publishing. My vision is to provide digital publishing and media professionals a platform to collaborate and promote their efforts, my passion is to uncover talent and… Read more

    Edited by Vahe Arabian
    Vahe Arabian

    Founder and Editor in Chief of State of Digital Publishing. My vision is to provide digital publishing and media professionals a platform to collaborate and promote their efforts, my passion is to uncover talent and…Read more

    google ai experiments

    Founder and Editor in Chief of State of Digital Publishing. My vision is to provide digital publishing and media professionals a platform to collaborate and...Read more

    The release of Google AI Experiments as of a few days ago, is focused on not only educating users in the practical use of Artificial Intelligence & Machine Learning, rather changing the company’s pivot towards becoming an AI first company, following its recent transition of making its mobile index the primary index for collecting, indexing and ranking information.

    Google AI experiments is a hub showcasing some of the simple projects Google has recently conducted,  by playing with pictures, language, music, code, and more. Access to the respective experiments and code are available.

    Image recognition, speech synthesis,  Cloud M, Keras.js, Wekinator, Tensor Flow, Convent.Js, OpenFrameworks are some of the methods used to develop these experiments, however, this does not limit you to submit something using your own method to add into Google’s showcase.

    Stay up to date on the latest news, trends, and best practices in digital publishing.

    As audience development and digital publishing specialists, this provides an opportunity to take your technical marketing skills to the next level, by allowing you to develop monetized products that will help develop a 1:1 reader relationship. Something as simple as content personalization is something you can start off the bat in executing through AI and machine learning.

    Ongoing updates will be provided in this frontier as more case studies are published on the web.

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