Predict outcomes faster using a platform built with data fabric architecture
Overview
Collect, organize and analyze data
IBM Cloud Pak® for Data is a modular set of integrated software components for data analysis, organization and management. It is available for self-hosting, or as a managed service on IBM Cloud.
Products
Accelerate and scale open-source AI innovation.
Provides business intelligence and reporting tools that help teams access, analyze and report on Maximo data.
Simplify your data landscape with a universal query engine.
The first market-ready hybrid cloud platform to help the energy industry analyze OSDU® data across the enterprise.
Accelerates machine learning and deep learning workloads with flexible CPU and GPU resources, supported frameworks, and access to enterprise data sources.
Seamlessly consolidates data from disparate sources to establish a single, trusted, 360-degree view of your record data.
An AI-infused planning solution that enables quick Iteration, accelerated decision-making, and higher performance.
An AI-powered coding assistant that helps developers generate, understand, and transform code to accelerate application development and modernization.
Unifies data and AI to deliver predictive insights that help teams make faster, data-driven business decisions.
Features
Unlock trusted data for AI and analytics
Break down data silos with a unified data experience that enables organizations to access and combine structured and unstructured data from disparate sources, whether on premises, in the cloud, or across hybrid environments. Using data virtualization, pipelines, and a wide range of connectors, IBM Cloud Pak for Data eliminates the need for physical data movement. This streamlines access, prevents duplication, and delivers trusted data ready for analytics and AI workloads in real time or batch.
Keep data private, secure, and compliant with governance capabilities embedded throughout the data lifecycle. IBM Cloud Pak for Data automates metadata management, enforces policies, and monitors data usage and lineage to ensure data remains trusted and protected. This enables teams to confidently use data for analytics and AI while meeting internal standards and regulatory requirements.
Empower data consumers of all skill levels to build, train, and deploy AI solutions within a unified platform. IBM Cloud Pak for Data streamlines the entire AI workflow, from data preparation to model development and deployment, while supporting collaboration, bias mitigation, and governance. This helps organizations scale trustworthy AI across teams and use cases.
Improve productivity and accelerate innovation with the freedom to connect to more than 60 data sources and manage workloads seamlessly across multiple cloud environments. IBM Cloud Pak for Data gives organizations the flexibility to optimize performance, scalability, and cost efficiency while maintaining control over their data, wherever it resides.
Use cases
Turn trusted data into business outcomes
Connect distributed data, modernize integration, strengthen governance and accelerate AI initiatives. Give teams trusted, accessible data across hybrid environments so they can move from raw information to insights and business outcomes faster.
Give teams trusted access to distributed data across on-prem, cloud and hybrid environments, helping them integrate and use data without unnecessary movement.
Help teams govern AI models and data with greater transparency, oversight and accountability, supporting responsible AI throughout the lifecycle.
Enable teams to explore trusted data, uncover insights and make informed decisions with analytics that bring data closer to everyday business needs.
Help teams integrate, transform and manage structured and unstructured data so trusted, high-quality information is ready for analytics and AI.
Case studies
See transformation in action
Samsung Electro-mechanics
To maintain world-class product quality, Samsung Electro-Mechanics needed faster access to trusted data. IBM Cloud Pak for Data unified and governed data across the business, improving productivity, accelerating insights, and reducing typical process times from 30 days to less than 10.
>2,500
number of data assets has grown from 500 to more than 2,500
≤10
days for improvement in typical process time (from 30 days to 10 days or less)
Resources
Dive into expert insights
Enrich your understanding of IBM Cloud Pak for Data with analyst reports, ebooks, white papers, specialized training, infographics and more.