Reimagine data management

Address your pressing data challenges with a holistic solution

Overview

Build, scale and govern AI models with a data fabric

AI insights require the right data, automated modeling tools and governance to ensure transparency and trust.

Automated data orchestration, model building, deploying and governance can negate risks and help drive accuracy, accountability and responsible AI.

Capabilities

Build trust in data 

Pictogram representing capability to build trust in data

Build trust in data 

Access the right data, just in time, regardless of where stored. Use data fabric across a hybrid cloud landscape.

Build trust in models  

Pictogram representing capability to build trust in models

Build trust in models  

Shorten the time to model production, ensure lifecycle managing, monitoring and retraining using automation.

Build trust in processes 

Pictogram representing capability to build trust in processes

Build trust in processes 

Drive consistent, transparent and repeatable AI governance, managing risk and compliance across the AI lifecycle.

Benefits 

Features

Data integration

Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management.   
 

Automate with MLOps

Automate manual tasks that data science must complete as they build and train predictive machine learning models across the entire AI lifecycle.   
 

Embedded decision optimization  

Enable data science teams to capitalize on the power of prescriptive analytics and build solutions using machine learning and optimization. 

Multicloud ready

Deploy AI projects across on-prem, on public and private clouds. Promote trust and confidence with trustworthy AI.

MLOps lifecycle governance 

Manage regulatory, compliance, risk and more. Keep AI models explainable and transparent. Minimize overhead of manual inspection and costly errors.   

Get the trial at no cost

Automate AI governance with a data fabric

Included solutions

IBM Watson® Studio

Simplify model production from any tool, automate model retraining and monitor for accuracy.   

IBM Watson® Knowledge Catalog

Automate metadata collection and policy management. 

IBM OpenPages with Watson 

Identify, manage, monitor and report on risk and regulatory compliance across the model lifecycle.

Resources

Speed deep learning workloads

Optimize deep learning with IBM Cloud Pak for Data.

Total economic impact

See potential financial impacts of IBM Cloud Pak for Data.

Explainable AI

Learn how to break down barriers to enterprise AI.