Introducing version 3.5

Unlock IT cost savings and speed up digital transformation with IBM Cloud Pak for Data 3.5

What is IBM Cloud Pak for Data?

Cost savings ↓     Features ↓     Product demo ↓     Success stories ↓     What's new ↓

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that helps modernize the way you collect, organize and analyze data to infuse AI. The platform is cloud native and is designed to add powerful new capabilities for data management, DataOps, governance, business analytics and AI. There's no need to integrate costly point solutions. IBM Cloud Pak for Data delivers the modern information architecture to turn AI aspirations into tangible business outcomes while improving governance and protecting your data.

Whether your priorities are driving cost savings or accelerating innovation, IBM Cloud Pak for Data can help. Deploy it on any cloud and plug it into your existing landscape seamlessly. The platform uses the resource and infrastructure optimization power of Red Hat® OpenShift® to help your data and AI workloads run efficiently. IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation with a broad ecosystem of open source, proprietary and third-party services.

→ Read the solution brief (PDF, 147 KB)

Features

Single, unified platform

Speed time to value with an integrated platform based on your needs. Intuitive, role-based navigation brings data management, data governance, data science and AI capabilities together in a seamless collaborative experience.

Built-in governance

Quickly and efficiently respond to changing regulations with embedded and automated governance capabilities. Organize, define and manage enterprise data while enforcing policies and rules across your organization.

Modern, cloud-native architecture

Update your data and AI strategy with an agile, resilient and portable multicloud data platform. Capitalize on the Red Hat OpenShift foundation to optimize the deployment of containerized data and AI services.

Automation and AI throughout

Accelerate ROI by automating the provisioning, configuration management, patching, upgrading and scaling of the platform and services. Simplify AI lifecycle management and augment your teams skills.

Extensible APIs and ecosystem

The platform is open and extensible at the core so you can tap into a broad ecosystem of complementary hardware, software and services. Leverage a growing catalog of solutions to customize data workflows.

Hybrid multicloud flexibility

Deploy IBM Cloud Pak for Data on premises or in the cloud. Choose self-managed or fully managed or deploy on an optimized hardware system.

Take a product walkthrough

IBM Cloud Pak for Data can help you unlock the value of your data and create an information architecture for AI. This product walkthrough offers step-by-step demonstrations on how to collect, organize, analyze and infuse AI into your data with a scalable Kubernetes platform.

Market impact

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

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

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

What’s new

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IBM Cloud Pak for Data now supports IBM Z and LinuxONE

Maximize data insights in a secured, resilient IBM Z® and LinuxONE private cloud infrastructure with IBM Cloud Pak for Data on IBM Z.

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SmartPaper: Explore IT cost savings with IBM Cloud Pak for Data

This interactive SmartPaper shows you how the IBM data and AI platform helps reduce IT costs while accelerating your journey to AI.

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IBM a leader in this Forrester Wave™ report

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

IBM Cloud Pak solutions

Explore complete, containerized solutions from IBM to solve common business problems.

Footnotes

  1. Projected Total Economic Impact™ Study (PDF, 1.3 MB) Commissioned By IBM February 2020
  2. Total Economic Impact™ Study (PDF, 698 KB) Commissioned By IBM July 2018
  3. Projected Total Economic Impact™ Study (PDF, 890 KB) Commissioned By IBM August 2020