IBM Cloud Private for Data: IBM’s new machine learning and data science platform

IBM unveiled a new data science and machine learning platform for accelerating AI adoption. Termed as IBM Cloud Private for Data, it is an integrated data science, data engineering and app building platform which can ingest and analyze massive amounts of data –one million events per second.

According to the official press release, “The platform is built to enable users to build and exploit event-driven applications capable of analyzing the torrents of data from things like IoT sensors, online commerce, mobile devices, and more.”

• The core features of the IBM Cloud Private for Data is an in-memory database, a real-time processing engine and the ability to ingest and analyze massive amounts of data.
• The platform can ingest up to 1 million rows per second and 250 billion events per day for both transactional and analytical processing.
• Another feature of the platform is an ML-powered intelligent data catalog that automates the process of creating meta-tags.
• It also has a real-time ingestion engine based on Apache Spark and the Apache Parquet column-oriented data store.
• The IBM Cloud Private Data solution also includes key capabilities from IBM’s Data Science Experience, Information Analyzer, Information Governance Catalogue, Data Stage, Db2 and Db2 Warehouse. This new solution provides a data infrastructure layer for AI behind the firewall.

Talking about the architecture, IBM Cloud Private for Data is an application layer deployed on the Kubernetes open-source container software. It forms an integrated environment for data science and application development using microservices. In the future, the Cloud Private for Data will run on all cloud and will be available in industry-specific solutions, for financial services, healthcare, manufacturing, and more.

In addition, IBM has also announced the formation of the Data Science Elite Team – an elite team of consultants who will help solve real-world data science problems of clients, with no charge.

“These two data science efforts,” according to Rob Thomas, General Manager, IBM Analytics, “will bring the AI destination closer and give access to powerful machine learning and data science technologies that can turn data into game-changing insight.”

Have a look at the IBM Cloud Private for Data official announcement for further details.