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Ole Olesen-Bagneux - auteur O’Reilly et Chief Evangelist chez Actian - explore les défis de la gestion des métadonnées en entreprise, mais surtout le formidable potentiel qu’elles représentent pour l’intelligence artificielle.

La réalité du metadata management est rarement abordée en profondeur dans la littérature technique, ni même dans les recommandations des éditeurs de technologies : on cherche avant tout à expliquer comment fonctionne la technologie.

Or, cette approche fait abstraction du contexte organisationnel, nuisant à l’implémentation de ces technologies. Dans le cas des métadonnées, cela limite leur potentiel et empêche l’interopérabilité entre les nombreux répertoires généralement présents dans les entreprises.

Pourtant, une perspective nouvelle s’ouvre : considérer ces répertoires de manière holistique, comme une stack technologique. Une approche qui offre une vision plus fine et plus fidèle de l’écosystème IT, et qui permet la création de nouveaux métamodèles via des knowledge graphs, fondés sur les cartographies existantes du système d’information.

Lors de cette session, découvrez :

• La réalité de la gestion des métadonnées en entreprise

• Comment offrir à l’IA un contexte riche et robuste

• L’apport de l’IA agentique

• Les ontologies pour le Model Context Protocol (MCP)

O'Reilly Author and Chief Evangelist, PhD Ole Olesen-Bagneux takes a deep dive into the challenges of metadata management in enterprises, and the great potential metadata represents for Artificial Intelligence. 

The reality of metadata management is – crucially – not properly addressed in most tech literature, as well as in the guidance from technology vendors. This is not a result of suspicious intentions, but a natural outcome of what is sought communicated: How technology works. 

However, this leaves out the enterprise context, and accordingly implementations of technologies suffer. For metadata, this is a problem that limits the potential and interplay of the many metadata repositories normally found in an enterprise. 

A great perspective unfolds if we consider metadata repositories more holistically as a stack, giving improved perception of what the IT landscape of an enterprise is truly like. 

Furthermore, this approach solidifies how to craft new metamodels in knowledge graphs, because they meticulously consider the existing mappings of the IT landscape. 

This is the key to unparalleled solid context for Artificial intelligence. 

Discover:

*The reality of metadata management in enterprises

* Agentic AI for the enterprise

* Ontologies for Model Context Protocol (MCP)

In this episode, I sit down with Ole to discuss his new book, "Fundamentals of Metadata Management." We move past the simple definition of "data about data" to a more nuanced view of metadata as something that exists in two places at once , serving as a pointer to find information elsewhere. Ole introduces his core concept of the "MetaGrid"—the interconnected, yet siloed, web of metadata repositories that already exists within every large organization across various teams and technologies. He argues that the key to better metadata management is not to build a new monolithic system but to recognize, document, and integrate the MetaGrid that's already there, hiding in plain sight. The conversation also covers the impact of the AI hype cycle , the lessons learned from the Data Mesh movement , the sociological incentives that help or hinder metadata projects , and the cultural clash between the worlds of data engineering and library science.

Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories—metadata tools about the IT, data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but that practice lies at the core of problems with data management in many companies today. Author Ole Olesen-Bagneux, chief evangelist at Actian, shows you how to masterfully manage your metadata repositories by properly coordinating them. That requires a data discovery team to increase insights for all key players in enterprise data management, from the CIO and CDO to enterprise and data architects. Coordinating these repositories will help you and your organization democratize data and excel at data management. This book shows you how. Learn what metadata repositories are and what they do Explore which data to represent in these repositories Set up a data discovery team to make data searchable Learn how to manage and coordinate repositories in a meta grid Increase innovation by setting up a functional data marketplace Make information security and data protection more robust Gain a deeper understanding of your company IT landscape Activate real enterprise architecture based on evidence

What if the world's metadata were interconnected in a decentralized way? This is part of the vision of Ole Olesen-Bagneux's Meta Grid. We have a chat about what it is, and its implications for the data industry.

Metagrid, une autre façon d'imaginer la gestion des métadonnées ?

Avec Ole Olesen-Bagneux, qui prépare un livre qui sortira en 2025, pour discuter de métadonnées et du concept de "metagrid".

Ce concept, qui n'est pas une technologie en soi, vise à améliorer la performance des technologies existantes en favorisant une collaboration accrue entre les différentes équipes et systèmes qui traitent les métadonnées au sein d'une entreprise. Le metagrid promeut une approche "top-down" pour mieux comprendre et exploiter les métadonnées partagées par les systèmes.

Le metagrid est basée sur une compréhension approfondie de la réalité des grandes entreprises, qui est souvent marquée par une complexité et une fragmentation des systèmes d'information. Ole souligne l'importance de reconnaître les différentes fonctions et les responsabilités inhérentes aux technologies qui traitent les métadonnées afin d'optimiser leur utilisation et de créer une vision globale de l'entreprise.

Inscription sur meetup ou directement sur la page de l'événement LinkedIn.

https://www.linkedin.com/events/metagrid-uneautrefa-ond-imagine7263192609630613505/theater/

Join us for our monthly Data Mesh Learning Roundtable. This is an interactive roundtable that encourages participant interaction. We will divide the group into break-out sessions moderated by our four hosts:

Andrew Sharp, Principal Consultant/Data Governance, Oakland Group Amy Raygada, Senior Data Product Manager, Swiss Marketplace Karin Håkansson, Data Governance/Data Mesh Lead Consultant Wannes Rosiers, Product Manager and Data Enthusiast, Conveyor

with special guest Ole Olesen-Bagneux, Chief Evangelist, Zeenea

In the evolving landscape of data management, Data Mesh is emerging as a transformative approach to handle the increasing complexity and scale of data in large organizations. One of the critical components of Data Mesh is the Data Catalog, which acts as a centralized repository for metadata, providing a comprehensive overview of the data assets within the organization. The Data Catalog in a Data Mesh framework ensures data discoverability, accessibility, and governance, enabling data consumers to easily find, understand, and use data from diverse sources. By cataloging data products across various domains, the Data Catalog facilitates decentralized data ownership while maintaining a high level of interoperability and standardization.

To delve deeper into the intricacies of Data Catalogs within the Data Mesh paradigm, we have invited Ole Olesen-Bagneux, a renowned expert in data governance and metadata management. With his extensive experience and insights, Ole will discuss the role of Data Catalogs in enhancing data democratization, fostering data-driven decision-making, and addressing the challenges associated with implementing Data Mesh in large-scale enterprises. His talk promises to provide valuable perspectives on optimizing Data Catalogs for improved data quality, compliance, and operational efficiency in a Data Mesh environment.

Data Mesh with its decentralized/federated approach offers new opportunities for enterprise data catalogs; But what needs to change to allow data catalogs to adapt to Data Mesh; This session, with Ole Olesen-Bagneux, the author of the best selling O’Reilly book “Enterprise Data Catalogs” will discuss what the “next generation” data mesh catalog look like.

Panel Members:

• Eric Broda
• Ole Olesen-Bagneux
• Jean-Georges Perrin