About the Product Demo
DATAVERSITY Demo Day is a curated virtual showcase designed to help data professionals efficiently explore tools and solutions that support modern data management practices.
In response to growing demand from our community, we created a vendor-driven experience that brings you direct access to live product demonstrations, use cases, and Q&A sessions, all from solution providers shaping the future of data governance, quality, architecture, and AI.
Whether you’re researching new technologies, comparing options, or staying informed on what’s next, Demo Day offers a clear, time-efficient way to evaluate the tools that can move your data strategy forward.
Each session is focused, informative, and built to help you make smarter, faster decisions.
Session 1: Informatica Demo: From Data and AI Chaos to Trusted Business Outcomes
Businesses are rapidly adopting AI, but projects without strong data and AI governance foundations often face challenges scaling from initial adoption to production. Informatica will demonstrate a practical path from risks and complexities to trusted, repeatable results: inventory your data, control how it’s used, deliver certified data for AI, and observe continuously.
Session 2: AI Is Moving Faster Than Our Governance Systems—So What Do You Actually Need: Metadata Management or a Governance Platform?
AI adoption is accelerating at a pace most governance systems were never designed to handle. Models are trained, data is shared, and insights are generated in near real time—while many organizations still rely on governance approaches built for slower, more static data environments.
This creates a critical question: Is a metadata solution enough, or do you need a full data governance and intelligence platform?
In this session, we’ll challenge common assumptions about metadata-first strategies and explore where metadata delivers value—and where it falls short as AI scales. We’ll examine why metadata alone often stops at visibility, while modern governance platforms extend metadata into automation, enforcement, and continuous control.
You’ll learn how organizations are:
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Preserving and reusing existing metadata investments without disruption
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Deciding when metadata is sufficient—and when it becomes a constraint
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Moving from documentation to execution with data quality scoring, lineage, secure data sharing, and AI-ready governance
Through a live demonstration of watsonx.data intelligence, we’ll show how metadata can remain the foundation—while governance intelligence ensures data is trusted, compliant, and usable at the speed AI demands. This session isn’t about replacing what you have.
It’s about understanding what’s required when AI outpaces governance—and choosing the right approach for your environment.
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