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 ↓     Benefits ↓     Features ↓     Success stories ↓     What's new ↓

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud® and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

Features

Single, unified platform

Speed time to value with a single platform that integrates data management, data governance and analysis for greater efficiency and improved use of resources. Help enable self-service collaboration across teams.

Built-in data 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.

IBM Cloud Pak for Data 3.0

Reduce costs, improve productivity, lower TCO and automate your journey to AI.

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

Tablet screen with ebook cover

Webinar: Accelerate and optimize your insight engine with a unified data and AI platform

Join for a Forrester analyst’s insight on benefits and cost savings of a unified data and AI platform in today’s changing times.

Unlock IT cost savings with IBM Cloud Pak for Data

Unlock IT cost savings with IBM Cloud Pak for Data

Learn how an integrated data and AI platform running on Red Hat OpenShift, can help you save on IT costs and improve your bottom line.

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Webinar: Faster forecasting with IBM Planning Analytics on IBM Cloud Pak for Data

Join the webinar to learn how you can have a single solution to bring data together and operationalize AI to forecast for a better future.

IBM Cloud Paks

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