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Status Submitted
Created by Guest
Created on Jul 15, 2026

Enable watsonx.data intelligence to use AWS SageMaker endpoints for model inference

Many enterprise customers have already standardized their AI/ML deployment and inference workloads on AWS SageMaker. Today, customers who want to use AI-powered capabilities within watsonx.data intelligence must also deploy and maintain watsonx.ai for inference, creating additional infrastructure, licensing, operational, and governance overhead.

Our customer has requested that watsonx.data intelligence support external inference endpoints, specifically AWS SageMaker hosted models, as a first-class integration option. This would allow customers to connect watsonx.data intelligence directly to SageMaker endpoints for metadata enrichment, data quality recommendations, business term generation, and other AI-driven capabilities that require inference.

Who benefits:

  • Existing AWS-centric customers with established SageMaker environments.
  • Customers executing hybrid-cloud AI strategies.
  • Organizations seeking to reduce duplicate AI platforms and infrastructure.
  • Enterprises with regulatory, operational, or procurement requirements that mandate use of existing AI environments.

Benefits:

  • Eliminates unnecessary duplication of AI infrastructure.
  • Reduces hardware and software costs.
  • Accelerates adoption of watsonx.data intelligence.
  • Simplifies enterprise architecture.
  • Improves customer flexibility and deployment choice.
  • Strengthens IBM's hybrid-cloud and open ecosystem positioning.
Needed By Quarter