As AI agents become more powerful and widely adopted, enterprises face a new challenge: how to build them on a foundation of trustworthy, AI-ready data that includes both structured and unstructured data. Unstructured data introduces new complexity for organizations already contending with large and growing volumes of data that is often distributed and disconnected, and from more information sources. In this episode, Stephanie Valarezo, Program Director, Product, from IBM Data Integration, shares how organizations can simplify and scale the integration, access and governance of unstructured and structured data. Explore how IBM is simplifying the enterprise data stack by empowering teams to integrate structured and unstructured data, using batch, real-time streaming, or replication techniques, while extending governance beyond the data layer to the AI agents themselves. Whether you're modernizing legacy infrastructure, accelerating agent development, or building robust governance strategies, this session will give you a blueprint to: Unlock the value of unstructured data for enterprise-grade AI Accelerate data intelligence through built-in observability and governance Simplify your tech stack while improving trust and traceability in AI outputs Learn more about watsonx #sponsored Register for free to be part of the next live session: https://bit.ly/3XB3A8b Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter
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Stephanie Valarezo
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Stephanie Valarezo is a Program Director and Technical Product Leader for IBM Data Integration, overseeing the DataStage and Data Replication product management teams. She partners with enterprises on strategic data engineering, management, and analytics initiatives and draws on a background in product design, scientific research, and biomedical engineering training. She is a collaborative, forward‑thinking leader with strong communication skills, stays current with technology trends across the data integration landscape, and contributes to the community through meetups and volunteer work.
Bio from: Data + AI Summit 2025
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