IBM Releases Platform to Help Users Streghten their AI Journeys

IBM is launching a new data science and machine learning platform along with an elite consulting team to help users accelerate their AI journeys.

Powered by a fast in-memory database that can ingest and analyze massive amounts of data, IBM’s new Cloud Private for Data is an integrated data science, data engineering, and app building platform.

Designed to help companies uncover previously unobtainable insights from their data, the platform was created 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.

“Whether they are aware of it or not, every company is on a journey to AI as the ultimate driver of business transformation,” said Rob Thomas, General Manager, IBM Analytics. “But for them to get there, they need to put in place an information architecture for collecting, managing and analyzing their data. With today’s announcements, we are planning to bring the AI destination closer and give access to powerful machine learning and data science technologies that can turn data into game-changing insight.”

Launching on the IBM Cloud Private platform, Cloud Private for Data is an application layer deployed on the Kubernetes open-source container software and can be deployed in minutes.

Using microservices, it forms ay integrated environment for data science and application development.

In the future, the Cloud Private for Data will run on all clouds, as well as be available in industry-specific solutions, for financial services, healthcare, manufacturing, and more.

The 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.

Separately, IBM also announced the formation of the Data Science Elite Team – a new no-charge consultancy dedicated to solving clients’ data science problems and to assist them in their journey to AI.

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