Is your data holding back your AI?

Your AI can’t scale on data that isn’t accurate, accessible, and trusted

Get the data quality guide
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Better data, better AI

Reliable AI depends on data that is clean, connected, and enriched with real-time context.
Build AI on data you can trust

AI accuracy depends on data quality. Govern, unify, and scale structured and unstructured data across your hybrid environment—so AI is trained on data that’s accurate, contextual, and reliable.

 Explore watsonx.data
Make fragmented data usable for AI

AI slows down when data is scattered across systems and formats. Simplify how data is connected and delivered, creating reusable pipelines that reduce complexity and speed access to trusted, AI‑ready data.

 Explore watsonx.data integration
Build AI on data you can trust

AI accuracy depends on data quality. Govern, unify, and scale structured and unstructured data across your hybrid environment—so AI is trained on data that’s accurate, contextual, and reliable.

 Explore watsonx.data
Make fragmented data usable for AI

AI slows down when data is scattered across systems and formats. Simplify how data is connected and delivered, creating reusable pipelines that reduce complexity and speed access to trusted, AI‑ready data.

 Explore watsonx.data integration

Putting data to work in the real world

Crush Bank logo

Reduced total time to resolution (TTR) of help desk tickets by 45%

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Cogniware logo

Completed data processing and analysis 60% faster

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Dynamiq logo

Cut time to answer business queries by 98%

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Ferrari logo

Doubled daily active users and increased data engagement by 35%.

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Guide: Your AI is only as good as your data

To turn your data into the kind of high-quality data that helps enable AI success, it’s necessary to understand how to properly manage and prepare both structured and unstructured data.

In this guide, we'll discuss:

  • What it means for data to be high quality
  • The barriers that can prevent data leaders from solving the challenge of data quality
  • A framework and point of view that can help organizations manage and prepare quality data to meet the requirements of AI use cases.

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