DataCanvas Review
What is DataCanvas?
Datacanvas data science platform is a complete collaborative development modeling platform for data scientists, data analysts and AI practitioners. It integrates automatic data preparation, three modeling methods, original "Four Repos" and self-developed AutoML, AutoDL and other AI technologies, which are used to provide users with machine learning analysis, real-time computing ability and AI application process model production services. The platform adopts an open architecture, which can absorb the latest technology in time, adopts public standards, and can quickly connect with external systems, thus greatly reducing the construction cost of AI. Datacanvas consists of two product suites that can be deployed separately: Datacanvas APS & Datacanvas RT. Datacanvas APS is a one-stop machine learning platform for data science teams, which helps enterprises quickly build data analysis applications. As a flexible and easy-to-use enterprise data science platform, it integrates data preparation, feature engineering, algorithm implementation, model development, model release, model production management, and can accelerate the process from model exploration to model production landing. Datacanvas RT is a real-time decision center. It supports the access of multiple data streams to real-time processing and analysis, and extends ETL, business model, machine learning, artificial intelligence, etc. to real-time. By means of risk monitoring, precision marketing, real-time early warning, and event analysis, combined with powerful data analysis and processing capabilities, Datacanvas RT provides real-time processing support for various business scenarios of enterprises. It comprehensively considers the business scenarios and technical index requirements of practical application, and provides a continuous, efficient, and reliable data infrastructure for the future big data technology of enterprises.
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