IBM Think 2025 Showcases Watsonx.data’s Role In Generative AI

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IBM Think 2025 Showcases Watsonx.data’s Role In Generative AI
IBM ThinkWatsonWatsonx.Data
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IBM has evolved the watsonx.data platform to address roadblocks in scaling generative and agent-based AI, especially the need to bridge structured and unstructured data.

One of the themes for IBM Think 2025 — this week’s flagship event for customers, partners and analysts — is exploring how AI and automation are being put to work in the real world. One of the big product updates is for the watsonx.data platform, which is continuing to evolve to address common roadblocks in scaling generative and agent-based AI.

Unstructured data presents a unique challenge because it is dynamic, fragmented across systems, lacks clear labels, and often requires additional context for meaningful interpretation. Retrieval-augmented generation, while useful for structured knowledge retrieval, can be ineffective when attempting to extract and harmonize unstructured information at the enterprise scale.

Meanwhile, a global manufacturing client partnered with IBM and EY to automate the ingestion and consolidation of indirect tax data across 34 source systems in 73 countries, improving compliance efficiency., a product that integrates EY’s tax expertise with IBM’s AI technology, including watsonx.data. In sports and media, IBM is a key partner for The US Open and, where millions of data points are processed in real time to generate AI-driven player commentary and fan insights.

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