Access the data that enterprise AI requires

AI starts with data

Moving from failed AI projects to realizing value and ROI from scaled-up AI is a challenge for many organizations.

That’s because their data is not AI-ready, and it’s in so many different places and formats that preparing it for AI can be difficult. 

Learn how to access all of your data, structured and unstructured, and obtain a unified view of it so you can achieve more with your AI.

The promise of truly democratizing data access is around the corner, so everybody is going to be more data-driven.

Fariya Syed-Ali

Product Marketing Lead, watsonx.data, IBM

Accessing all of your data is vital

90%

of data generated in 2022

was estimated to be unstructured¹

<1%

of enterprise data

is accounted for in traditional LLMs²

72%

of CEOs say proprietary data

is key to unlocking the value of AI³

Making your data AI-ready means making it accessible

See how an open, data lakehouse with advanced data fabric capabilities helps you access and unify all your data.

Client story

Serving fans with data

The US Open turns 7 million data points into an AI experience fans love.

From data chaos to AI clarity

The 2025 CEO study

Increasing AI adoption with AI-ready data

Making thoughtful, data-driven choices

Explore the Data Matters hub

Prepare and manage

IBM’s Scott Brokaw outlines how to boost data quality through curation and enrichment.

Secure and govern

IBM’s Heather Gentile explains how governance frameworks support responsible AI adoption.

Data Matters homepage

Our Data Matters hub offers expert insights on optimizing your most valuable AI asset: your unique data.

Take the next step

IBM’s offerings enable organizations to ingest, govern and retrieve structured and unstructured data so they can scale agentic AI.