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Google launches Cloud AutoML to automatically build custom AI models

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Google today announced a new cloud service that's designed to make it easier for companies to create custom machine learning algorithms for processing images. Called Cloud AutoML Vision, the system allows developers to upload a bunch of images to Google's cloud and receive a custom model in return.


Google's Cloud Auto-ML Vision

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A new service by Google named Cloud AutoML uses several machine-learning tricks to automatically build and train a deep-learning algorithm that can recognize things in images. Its simple interface lets you upload images with ease, train and manage them, and finally deploy models on Google Cloud.


Google's new AI service makes machine learning more accessible

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Called Cloud AutoML, the set of services gives businesses automated AI building tools. They can then create machine learning-infused services without a detailed understanding of the underlying tech. Cloud AutoML consumes data supplied by the business to automatically generate a machine learning model. This is then optimised to suit the dataset and begin producing further results. The initial release of the platform will include one service, Cloud AutoML Vision.


Google ups its AI services with new Contact Center solution and developer tools - MarTech Today

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Google is boosting its AI-as-a-service offerings this week, most notably with the alpha release of a new Contact Center AI solution. Contact Center AI is built around its Dialogflow development suite for conversational agents, which was launched last fall and already in wide use. Dialogflow Enterprise Edition now has the ability to build AI-powered virtual agents for contact centers, a Phone Gateway for taking calls without infrastructure, Knowledge Connectors for understanding unstructured data like FAQs and Sentiment Analysis. In Contact Center AI, a Virtual Agent first answers the call and handles it if possible. If not, it passes the call to a human representative, who is helped by an Agent Assist system that continues to monitor the call and provide supporting info as needed.


Google integrates Cloud AutoML with Kaggle ZDNet

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Google on Monday announced it's integrating Cloud AuotML into Kaggle, its platform for data scientists. Cloud AutoML, which Google unveiled in 2018, automates the creation of machine learning models. The software makes it possible to build custom machine learning models without any specialized machine learning knowledge. Integrating AutoML into the Kaggle platform advances its mission to "empower our community of data scientists by providing them with the skills and tools they need to lead in their field," Google wrote in a blog post. Kaggle, which was acquired by Google in March 2017, specializes in Jupyter notebooks used by data scientists.