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World Congress 2025 • Aug 20, 2025 • Session details

Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata

Clemens Vasters

Feeding raw event data to LLMs leads to hallucinations. A schema-first approach provides the exact machine-readable context needed to generate accurate, predictable code for your event pipelines.

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#1 about 5 min

Challenges of interpreting raw data with language models

Without physical context or schema definitions, language models make unpredictable assumptions about raw values like temperature units.

#2 about 5 min

Enhancing prompt output through explicit schema constraints

Providing framing prompts with precise standard schema definitions ensures accurate interpretation and reliable generation of data records.

#3 about 2 min

Using independent schemas to drive polyglot code generation

Treating schemas as independent primary assets rich with human-readable context significantly improves polyglot code generation workflows.

#4 about 2 min

Evaluating inconsistencies in model-generated event stream formats

Relying on raw prompts to construct event objects results in chaotic, non-standardized formats across distributed application components.

#5 about 2 min

Standardizing generated messages via CloudEvents metadata parameters

Supplying formal specifications as instruction constraints configures large language models to produce natively compliant and uniform event structures.

#6 about 5 min

Generating reliable publisher clients using composite endpoint metadata

Combining foundational event declarations with broker configurations guarantees the instant output of accurate publisher clients across multiple languages.

#7 about 2 min

Replacing tribal knowledge in complex event streaming pipelines

Formalizing metadata definitions eliminates tribal assumptions by explicitly documenting structural contracts between isolated stream producers and consumers.

#8 about 7 min

Enforcing streaming data contracts within enterprise analytics infrastructure

Capturing event stream definitions into strict physical repositories allows enterprise platforms to aggressively drop non-compliant infrastructure data.

#9 about 3 min

Adopting JSON Structure as a strict data definition language

The new JSON Structure specification delivers primitive data boundaries and robust namespace rules to transcend validation-focused methods.

#10 about 4 min

Establishing universal metadata ecosystems with xRegistry and CloudEvents

Coupling standardized package registries for discovering endpoints builds an interoperable metadata graph vital for deterministic application integration.

Matching moments

3:17 min

Establishing metadata standards for real-time data pipelines

Clemens Vasters Clemens Vasters · World Congress 2026 Europe

1:36 min

Utilizing schema registries for data contract management

Sandon Jacobs Sandon Jacobs · World Congress 2026 North America

1:39 min

Standardizing messaging metadata for artificial intelligence and cloud

Clemens Vasters Clemens Vasters · World Congress 2025

4:30 min

Introducing data management and the shift to streaming

Mary Grygleski Mary Grygleski · LIVE

2:41 min

Enforcing schema validation in event stream workflows

Sandon Jacobs Sandon Jacobs · World Congress 2026 North America

2:01 min

Standardizing data exchanges using input and output schemas

Xavier Sala Presas Xavier Sala Presas · Europe 2026 Virtual

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