The data and AI platform buyer's guide

Discover the practical questions every business leader should ask when considering an enterprise-grade data and AI platform.

Overview

Why modernize your data?

Data fuels digital transformation, yet 74% of business leaders say their data landscape is so complex that it limits agility.¹ Problems such as data silos and inconsistent data sets can hinder AI implementation for 96% of organizations.² And while 66% of businesses have increased revenues due to AI adoption and 40% have cut costs, AI is not magic.³

IBM Cloud Pak® for Data is a fully integrated, cloud-native, data and AI platform built on Red Hat® OpenShift®. It modernizes how businesses manage and govern their data while supporting data science and business analytics. This platform delivers an information architecture for AI that provides choice and flexibility across the enterprise — with less "assembly required" in expanding AI’s impact across the organization.

Use cases

Unified tools and processes

Bring together capabilities spanning the entire analytics lifecycle in a consistent UI and platform for your teams to access and work with data easily. 

Data privacy and security

Integrate key security services to automate the monitoring of sensitive data to manage compliance and protect data privacy.

Data and AI governance

Help manage quality, compliance and trust in AI across your organization with built-in governance, automated checks and balances, and access to clean and complete data.

Self-service DataOps

Provide a self-service data pipeline with multicloud data integration, data cataloging and master data management to increase data quality, findability and governance.

Multicloud ModelOps

Synchronize application and model development and automate the end-to-end AI lifecycle. 

AI trust and transparency

Enable AI trust and transparency with explainable AI models. Combat bias and help ensure model fairness with end-to-end visibility of AI lifecycles.

What are analyst and clients saying

[IBM] Cloud Pak for Data as a single platform, brings powerful insights out of data spread across the enterprise, helps set the direction for business and leads the competition in their domain.

— Why Cloud Pak for Data is the right solution for our clients - Tech Mahindra

We saw an opportunity to help our clients navigate these uncertain times with AI-powered health and economic data: the COVID-19 Risk, Readiness and Recovery Dashboard.

— Michael Murray, President, Wunderman Thompson Data

With IBM Cloud Private for Data, IBM has pre-integrated capabilities that allow clients to be productive in a week or less.

— The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

Featured product

What’s new

Keep current with the latest product updates, news and content

The projected total economic impact of an integrated data and AI platform

Join the webinar to learn about the potential ROI IBM Cloud Pak for Data can bring your business.

Accelerate digital transformation with IBM Cloud Pak for Data 3.5

Learn about the latest updates in IBM Cloud Pak for Data 3.5, including enhanced automation, accelerated AI and an expanded ecosystem of services.

Gartner Newsletter with IBM Cloud Pak for Data

Learn how you can unlock the intelligence of AI and improve cost optimization with insight from Gartner Research and IBM. 

Engage an expert

Schedule a one-on-one consultation with experts who have worked with thousands of clients to build winning data, analytics and AI strategies.

Footnotes

¹ Data 2020 State of Big Data Study, SAP, 4 June 2019
² “90% of companies are working on AI projects, but they're making one big mistake,” TechRepublic, 24 July 2018
³ “The State of AI in 2020,” McKinsey, 17 November 2020