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Merge pull request #87 from vtushar06/conference-agenda-and-speakers
Enhancement: 2025 conference agenda and speakers
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content/_index.md

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## What is JSON Schema Conference?
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The JSON Schema Conference brings together adopters, implementers, leaders and innovators
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The JSON Schema Conference brings together adopters, implementers, leaders and innovators
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of the JSON Schema Ecosystem to further the education, adoption and evolution of the JSON Schema specification.
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{{% /home-info %}}
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{{% home-speakers %}}
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## Meet Our 2025 Speakers
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Join us to hear from industry experts, thought leaders, and innovators in the JSON Schema ecosystem.
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{{% /home-speakers %}}
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{{< home-location
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address="CNIT Forest Paris - France"
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latitude="48.892848"

content/schedule/_index.md

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---
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{{% hero %}}
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<div style="text-align: center; margin: 4rem 0; font-size: 1.5rem;">
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<h3><strong>2025 Schedule Coming Soon!</strong></h3>
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<p>Stay tuned for the detailed agenda of JSON Schema Conference 2025 in Paris.</p>
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<p>Watch this space to explore talks, breaks, networking sessions, and more!</p>
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</div>
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{{% /hero %}}
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---
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key: apis_to_embedded_devices
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title: From APIs to Embedded Devices - Using JSON Schema even for Serial Protocols
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id: apis_to_embedded_devices
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format: talk
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duration: 25
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tags:
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- talk
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speakers_info:
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- name: "Ege Korkan"
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company: "IoT Architect at Siemens"
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city: ""
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photoURL: "/images/speakers/Speakers-2025/ege.jpeg"
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- name: "Andreas Eberhart"
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company: "Dashjoin, Ambassador"
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city: "Mannheim, Baden-Württemberg, Germany"
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photoURL: "/images/speakers/Speakers-2024/andreas_eberhart.png"
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draft: false
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---
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Metadata management is the practice of cataloging, organizing, and maintaining information about data assets to ensure their accuracy, consistency, and usability. Traditionally, this has been achieved through the deployment of data catalogs, which provide centralized repositories for descriptive and structural information. In recent years, this approach has evolved to incorporate additional elements such as data lineage and standardized API descriptions, including OpenAPI and JSON Schema, to support greater transparency and interoperability across systems. Building on this comprehensive framework, we propose extending metadata management principles into the Internet of Things (IoT) domain by applying similar methodologies to W3C Web of Things (WoT) standards and JSON Schema. This advancement aims to enhance discoverability, reliability, and integration of IoT devices within broader data ecosystems.

content/sessions/breakfast.md

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---
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key: breakfast
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title: Breakfast
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id: breakfast
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format: pause
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duration: 75
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tags:
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- break
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image: /images/blog/breakfast.jpg
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draft: false
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---
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Morning breakfast and networking.
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---
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key: closing_remarks
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title: Closing Remarks
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id: closing_remarks
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format: closing
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duration: 10
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tags:
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- closing
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speakers_info:
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- name: "Ben Hutton"
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company: "JSON Schema"
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photoURL: "/images/speakers/Speakers-2025/ben-hutton.jpeg"
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draft: false
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---
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Conference wrap-up and closing thoughts.
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---
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key: coffee_break_afternoon
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title: Coffee Break / Networking / Expo
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id: coffee_break_afternoon
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format: pause
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duration: 25
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tags:
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- break
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image: /images/blog/coffee.jpg
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draft: false
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---
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Afternoon coffee break, networking, and expo at Partners Village.
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---
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key: coffee_break_morning
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title: Coffee Break / Networking / Expo
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id: coffee_break_morning
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format: pause
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duration: 25
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tags:
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- break
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image: /images/blog/coffee.jpg
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draft: false
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---
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Morning coffee break, networking, and expo at Partners Village.
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---
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key: composition_for_win
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title: Composition for the win!
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id: composition_for_win
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format: talk
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duration: 25
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tags:
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- talk
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speakers_info:
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- name: "Matthew Adams"
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company: "Endjin, TSC Member"
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city: "London, England, United Kingdom"
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photoURL: "/images/speakers/Speakers-2025/matthew.jpeg"
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draft: false
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---
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This talk will explore how we used JSON Schema to harden the API of our IoT connectivity solution, Notecard.
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We'll dive into the practical implementation of schema-driven development: enforcing request validation, helping users catch integration errors before they reach production, and automatically generating documentation that stays in sync with the API. You'll see real examples of how JSON Schema transformed our development process, across our Notecard CLI, Developer Docs, programmatic SDK generation and MCP server.
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Learn the patterns we discovered for building robust IoT APIs, the tools that made implementation seamless, and how this approach reduced the complexity in both maintaining our hardware API and explaining it to users.
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---
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key: database_schema_api
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title: Database-Schema-API Synergy
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id: database_schema_api
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format: talk
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duration: 25
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tags:
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- talk
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- database
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speakers_info:
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- name: "Loïc Lefèvre"
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company: "Oracle"
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city: "Tours, Centre-Val de Loire, France"
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photoURL: "/images/speakers/Speakers-2025/loic.jpeg"
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draft: false
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---
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JSON Schemas are the backbone of modern API contracts, but what if your database could generate, version, transform, and serve them natively? In this session, we'll explore how the new Oracle AI Database 26ai provides JSON Schema management capabilities to improve your productivity: automatic generation, versioning, transformation, comparison, exposition to application tiers through REST or GraphQL... Last but not least, we'll present a way to expose your relational data into rich JSON Schema and JSON Documents, for example, to train your private AI models...
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Come ready to rethink how JSON Schemas and databases collaborate in this API era!
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---
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key: document_extraction_llms
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title: Structured Document Extraction with LLMs - From First Principles to Production
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id: document_extraction_llms
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format: talk
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duration: 25
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tags:
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- talk
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- AI
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- LLM
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speakers_info:
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- name: "Louis de Benoist"
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company: "CEO at Retab"
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city: ""
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photoURL: "/images/speakers/Speakers-2025/louis_headshot.jpeg"
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draft: false
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---
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Structured generation with LLMs makes it easier to extract standardized data from complex documents. But the process for building & evaluating the right schema is still largely artisanal. Retab has built an end-to-end platform for rigorously building these schema-driven pipelines. In this talk, Louis will go over technical insights and best practices.
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He will cover the whole process:
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- Going from business problem to JSON schema
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- Context engineering for large documents
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- Designing evals for first-order and second-order extractions
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- Using k-LLM consensus to boost performance and quantify uncertainty
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- Retab’s agent for auto-optimizing JSON schema descriptions
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- Human-in-the-loop for schema-driven automations

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