As enterprises race to capitalize on the promise of AI, many are encountering a familiar obstacle—data. While generative and agentic AI hold significant potential, their success is inherently tied to the quality, accessibility, and governance of the data feeding them. Unfortunately, most organizations are overwhelmed by fragmented data ecosystems, struggling to access the right data at the right time and in the right context to drive trustworthy AI outcomes. To unlock the true potential of AI, organizations must transition away from siloed systems and embrace open, unified data architectures that support the ingestion, governance, and activation of both structured and unstructured data at scale. Technologies like IBM watsonx.data are enabling this shift by simplifying complex data environments and laying the groundwork for scalable, secure, and high-performance AI solutions. In our latest Market Brief, From Data Chaos to AI Clarity: Activating AI Through High-Quality Enterprise Data, published in partnership with IBM, Futurum explores the core challenges enterprises face in deploying AI and presents a blueprint for overcoming them through smarter data strategies and tools. In this Market Brief, you will learn:

• Why poor data quality and governance remain the biggest roadblocks to AI success
• How data fabric architectures improve integration, control, and insight across hybrid environments
• The role of watsonx.data in enabling secure, scalable, and high-performance AI workloads
• How Langflow and vector databases are advancing agentic AI workflows
• Best practices for enabling AI-ready data pipelines that uphold compliance and trust

If you’re looking to make your AI investments more effective and responsible, download your copy of From Data Chaos to AI Clarity today.

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