Oracle announced the availability of its Cloud Data Science Platform, which has new seven services, with OCI Data Science at the core that delivers a robust, scalable, and collaborative tool for business. The Oracle Cloud Infrastructure Data Science is designed to enable users to build, train, manage, and deploy machine learning services to increase the collaborative success of data science. With this offer, Data Scientists teams can easily organize their work and access data and resources in a collaborative atmosphere.
The acquisition of data science is the origin of the Cloud Infrastructure Data Science Platform, where Oracle acquired in 2018, which centralizes data science tools, projects, and infrastructure in a completely governed workspace. Apart from these, it marks Oracle’s effort to integrate artificial intelligence (AI) and ML into its infrastructure.
Greg Pavlik, senior vice president product development, Oracle Data, and AI Services say “Effective machine learning models are the foundation of successful data science projects, but the volume and variety of data facing enterprises can stall these initiatives before they ever get off the ground,”
“With Oracle Cloud Infrastructure Data Science, we’re improving the productivity of individual data scientists by automating their entire workflow and adding strong team support for collaboration to help ensure that data science projects deliver real value to businesses.”
Oracle Cloud Data Science infrastructure includes automated data science workflow, saving time and reducing errors which are designed with the following capabilities:
- AutoML automated algorithm selection and tuning
- Automated predictive feature selection
- Model evaluation
- Model Explanation
Oracle Cloud Infrastructure Data Science helps to improve the effectiveness of the data science teams with capabilities which include shared projects, Model Catalogs, Team-based security policies, and Reproducibility and audibility.
It helps organizations to achieve success by model deployment and produce enterprise-grade results and improve their performance for predictive analytics to make positive business outcomes.
Including Oracle Cloud Infrastructure Data Science, Oracle added seven new services in the platform to deliver a comprehensive end-to-end experience designed to improve and accelerate the results of data science as follows:
- Powerful New Machine Learning Capabilities in Oracle Autonomous Database
- Oracle Cloud Infrastructure Data Catalog
- Oracle Big Data Service
- Oracle Cloud SQL
- Oracle Cloud Infrastructure Data Flow
- Oracle Cloud Infrastructure Virtual Machines for Data Science.
In the market of Cloud Data Science Platform, already there are Cloud Providers like AWS, Azure, IBM, and GCP have ML PaaS since 2016. However, as a latecomer in the Cloud market, Oracle will try to leapfrog the other public cloud vendor services offer for data scientists with its Cloud Infrastructure Data Science Platform and also the problems with the workflows of typical data scientist.
