Features

• Integrated Experience
• As a Service Flexibility
• Built-in-Governance
• End-to-end AI lifecycles
• Hybrid multicloud AI

Use cases for IBM Cloud Pak for Data

Reduce monetary, regulatory and reputational risk

Model risk and Governance
Users do not trust AI models, taking too much time to demonstrate compliance, and AI model issues can block production. Monitor and de-risk AI-generated biases to promote trusted use, balance the needs of AI and risk management.

Ensure trust and compliance across all data, AI and opensource assets
Minimize risk and ensure compliance with a wholistic solution to regulate all data, AI and opensource assets within your organization. IBM Cloud Pak for Data brings together leading capabilities around metadata management, lineage tracking, bias detection and opensource management as well as best in class security and industry applications.

Unlock data to unify access to all data across the organization

Unify the tools, processes and talent required for enterprise data and AI
Simplify and unify how clients collect, organize, and analyze data to ultimately infuse AI throughout their organization. Deliver seamless integration across tools and unified experience across the platform, accelerating time to value and minimizing talent silos to enhance collaboration and efficiency.

Accelerate digital transformation to better serve constituents

Digitally re-invent and future proof your data and AI strategy
Address your enterprise need to flexibly build, deploy and manage AI solutions at scale across public, private and hybrid multicloud environments. Optimize your existing infrastructure and investments with a growing catalog of fully containerized services that can be flexibly provisioned as business needs evolve. Tap into unprecedented expertise and experience to build a solid data and AI strategy for today and the future.