Google Launches AI Platform for ML Projects
Posted on 08 May 2019
Google has recently launched AI Platform, an end-to-end platform for developers and data scientists to build, test, and deploy machine learning models, at the Google Cloud Next 2019 conference held in San Francisco between April 9-11, 2019. The platform helps businesses solve complex challenges using AI in a way that is easier and collaborative.
The AI Platform helps you to start with exploratory data analysis, start to build models using a data scientist, decide you want to use a specific model, and then essentially with one click be able to deploy it in our Google Cloud or in other clouds.
The platform supports both batch and streaming data ingestion. Google's cloud storage or Big Query can be used to store the training data, as well as built-in data-labeling service can be used for labeling. Platform users can then use existing classification, object recognition, or entity-extraction models, or import the labeled data to AutoML to train a custom model.
Google also made several other important machine learning (ML) related announcements. Cloud AutoML, a suite of products that enables developers to train high-quality custom models with minimal machine learning expertise, has been updated with features, such as AutoML Tables, which enables users to easily create models on structured tabular datasets with zero code, and AutoML Video, which enables users to train custom video classification models specific to their business needs.
Google also announced Document Understanding AI, which can help an organization improve decision-making by using ML to classify, extract, and enrich data from scanned and digital documents.