IBM Cloud Pak for Data

IBM at AWS Summit Online Australia and New Zealand

Discover how IBM and AWS together can help you accelerate your organisation’s journey to an AI-powered business

Learn more

IBM named a Leader

IBM is positioned as a Leader in the Gartner Magic Quadrant for Data Science and Machine Learning.

Read the report

Index

Overview

Benefits

Minimized ETL expense

Learn how to help reduce extract, transform and load (ETL) requests 25% – 65%.

Read the blog

Operational efficiency

Red Hat OpenShift can drive up to 38% lower IT infrastructure and development cost.

Read the blog

Streamlined governance

Reduce time to automate data discovery, quality and governance by up to 90%.

Read the blog

Explore more cost savings

Features

Single, unified platform

Bring data management, data governance, data science and AI capabilities together on an intuitive, integrated platform based on your needs.

Built-in governance

Use automated end-to-end governance to help enforce polices and rules across your organization and quickly respond to changing regulations.

Data virtualization

Query data across multiple sources easily without moving the data. Increase accuracy of analytical queries by using the latest data at its source.

Automation and AI throughout

Speed ROI and simplify AI lifecycle management with automated provisioning, configuration, patching, upgrading and scaling of platform and services.

Extensible and customizable

Tap into a broad ecosystem of software from IBM and IBM Business Partners to customize data and AI workflows. Use one or more services. The choice is yours.

Designed for hybrid cloud

Achieve agility and resiliency with a data and AI platform that can be deployed on premises or on any cloud, self-managed or fully managed.

Take a product walkthrough

Market impact

Boost benefits

See ML, data science and AI productivity benefits up to projected USD 3.4 million.¹

Accelerate time to value

Accelerate time to value of almost any AI model with a projected ROI of 459% over 3 years.²

Improve model accuracy

Increase accuracy of AI and ML models by a projected 15% – 30%.³

What clients and analysts are saying

Client: Wunderman Thompson

Client: iKure

Client: Lufthansa

Analyst report

Analyst study

Virtual events

Evolving with data and AI as-a-service

Hear from IBM and IDC on the importance of having an intelligent enterprise with AI-based automation for business resiliency.

Watch the webinar

Accelerate AI lifecycles

Explore best practices in AI lifecycles, security and governance for successful AI implementation.

Watch the webinar

Podcast series: IT cost savings

Join leaders from Forrester and IBM to learn about the cost benefits of IBM Cloud Pak for Data.

Listen to the podcast

What’s new

Bring AI to business operations

Learn more about Palantir for IBM Cloud Pak for Data, now generally available.

Explore the product

Fighting inequality with AI

See how IBM and Urban Institute give policymakers insights to address social inequality.

Read the blog

IBM named a Leader in Forrester Wave

Read evaluations of the key vendors in the predictive analytics and machine learning space.

Read the report

Related offerings