Abstract:AI promises transformation, but most enterprises are still held back by a blind spot: unstructured data. The documents, conversations, and content that hold the richest business insights remain locked away—unusable, ungoverned, and invisible to AI. This untapped treasure delays projects, derails accuracy, and creates governance risks.

In this exclusive launch session, Teresa Rojas, Senior Director of Product Management at Collibra, and Reece Griffiths, co-founder of Deasy Labs (now part of Collibra), will unveil Collibra Unstructured AI. They’ll show how breakthrough technology, combined with Collibra’s unified governance platform, enables organizations to finally move beyond the black box and unlock the hidden wealth in their data to power trustworthy, scalable AI.

The John Lewis Partnership is building the foundation for AI success by creating a centralized, self-service data hub powered by Collibra. Through a collaborative governance framework, John Lewis Partnership is delivering trusted data products at scale, enabling faster, more confident decisions and strengthening oversight of AI initiatives.

In this session, you’ll learn:

• How JLP is overcoming fragmented, unreliable data with a single source of truth

• What drove adoption and business alignment for Collibra

• How trusted data products are accelerating AI readiness and governance

As enterprises accelerate AI adoption, the challenge lies not just in innovation but in governing AI effectively to maximize business value. This session explores how Agentic AI Governance provides a structured yet adaptive framework to drive measurable impact. Through real-world case studies, we'll uncover success stories and challenges organizations face in balancing compliance, trust, and efficiency. Attendees will gain actionable best practices for implementing AI governance at scale while preparing for the evolving regulatory and enterprise landscape.

Join Kevin Falkenstein, Service Manager of Data Governance Platform, and Axel Frank, Senior Solution Architect, from Siemens as they share Siemens' transformative journey in scaling Data & AI governance. Discover how Siemens is paving the way for the future by managing Data & AI models across departments, ensuring compliance, and building a foundation for long-term success by unifying Data and AI strategies with Collibra.

Debugging modern applications demands a new level of observability expertise. Traditional monitoring struggles with these complex distributed environments. This session goes beyond dashboards, exploring expert observability strategies tailored for the generative AI era. We’ll cover essential instrumentation with OpenTelemetry and eBPF, system health overviews using Metrics Explorer and Trace Explorer, and in-depth data analysis with SQL queries in Observability Analytics.

McDonald’s is advancing its AI capabilities and achieving transformative business outcomes with Collibra and Google Cloud Gemini. By integrating a multi-cloud, multi-data platform with unified data governance for AI, McDonald’s is reducing governance fragmentation, activating unused data, and addressing AI deployment risks. This session examines how McDonald's utilizes Collibra and Google Cloud's data and AI technologies to quickly implement innovative solutions and improve customer, restaurant team, and employee experiences.

Learn from data and AI thought leaders on this panel as they discuss how generative AI has shaped their outlook and approach to data governance. Learn from them as they talk candidly about building a data governance strategy, what they’ve learned so far, and how Google Cloud has helped them.

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