IBM Streamlines Enterprise Data Infrastructure for the Generative AI Era

IBM Streamlines Enterprise Data Infrastructure for the Generative AI Era IBM Streamlines Enterprise Data Infrastructure for the Generative AI Era

IBM is rolling out two new products aimed at enhancing generative AI capabilities: watsonx.data integration and watsonx.data intelligence. Both tools simplify the integration and management of unstructured enterprise data, crucial for AI performance.

Watsonx.data integration introduces a unified control plane for scaling AI-ready data delivery. It supports low-code and code-first environments, enabling smooth data movement across varying styles, including real-time streaming and batch processing.

Watsonx.data intelligence focuses on data governance, quality, and accessibility, making it easier for organizations to manage and utilize their data effectively.

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IBM claims these tools can achieve 40% more accurate AI models compared to conventional Retrieval-Augmented Generation (RAG) systems, according to internal testing.

The launch follows IBM’s collaboration with Lockheed Martin, which is leveraging the transformed watsonx.data for real-time information retrieval from millions of documents. John Clark, senior vice president of Technology at Lockheed, stated:

"We are rapidly accelerating our innovation and efficiency, to get solutions out of the lab and into the field, helping create a safer, more secure world."

Watsonx.data integration and watsonx.data intelligence will be available as standalone products starting June 11, 2025. IBM is also integrating technology from its recent acquisition of DataStax to enhance watsonx.data’s capabilities.

Additionally, IBM will launch watsonx BI, an AI analytics agent, allowing organizations to interact with data using natural language. This is set for a June debut as well.

As enterprises face challenges harnessing unstructured data, IBM’s new offerings aim to streamline operations and improve AI outcomes.

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