Data Mesh Live

If the number of agents we have integrated into our systems moves into the hundreds, thousands, or even millions, how do we govern them? Eric Broda on stage at Data Mesh Live talks through what is required for data leaders thinking about complex data systems in the agentic era.

AI amplifies the good and the bad. If you already have a strong engineering and design culture in your organisation, chances are AI will enable you to move faster. But if you don't, the likelihood is that you're only going to add more technical debt.

If you have orchestration outside of a data product, then that's just a dataset. Orchestration inside = autonomy.

Beware of semantic silos! We've always known siloed data is bad. But we're entering an era where siloed metadata is equally bad, perhaps even worse. Juha Korpela on stage at Data Mesh Live. buff.ly/ZCX1mYJ

Swisscom is also describing the metadata of their data products with the ODCS - Open Data Contract Standard which starts to be adopted across organisations!

Your AI initiatives need a foundational data layer to ensure this new technology integrates effectively with your system. In this course, Jacek brings his real-world experience with Data Mesh to this hands-on course. buff.ly/CyXXEga

Last week I hosted a 2 days Data Mesh Live conference. The community driven conference on #DataMesh. It was a blast, inspiring talks, engaging audience, and great atmosphere. @datameshlive.bsky.social

Data Mesh Live 2026 returns to Antwerp, with Tom De Wolf back as host, guiding the conversation for data architects, data product managers and data leaders. We’re proud to welcome ACA Group as our gold sponsor, supporting a community focused on making Data Mesh work in practice.

The self-service data platform is one of Data Mesh's founding principles, but it's also the one most organisations struggle to build. Andrew Jones tackles these questions head-on and explains how to begin implementing one with data contracts as the enabling feature. Learn more: buff.ly/7Mxkt3X

What if the way we think about modularity in microservices could sharpen how we design Data Mesh? Neal Ford's keynote will bring real-world examples and tactics for data architects and leaders. Learn more: buff.ly/A2w3NWU

Data products don’t have a single architecture - they have two. The outer layer makes them trustworthy The inner layer makes them work This session reveals why ignoring either one leads to duplication, tech debt, and broken AI initiatives. Learn more: buff.ly/qnICip3

Data Mesh gave us an operating model. But data products are still slow, brittle, and dependent on tribal knowledge. At Data Mesh Live 2026, Eric Broda makes the case for the Agentic Mesh as the next stage of Data Mesh evolution and shows what it looks like in practice. Learn more: buff.ly/kUesrkf

Is metadata the weakest point in Data Mesh? Data products created in isolation, without connecting to existing enterprise metadata, end up dysfunctional. The solution is a decentralised architecture that ties together the metadata already living across your system. buff.ly/PLywdUO

When AI Meets Data Reality: How to Manage and Govern Data to Enable Swisscom for AI-Readiness. This session covers the data architecture, management practices, and governance patterns that turned a legacy data landscape into a foundation for AI at scale.

Data-first or contract-first? The data-first approach encourages exploration and quick experimentation, but often leaves ownership unclear and producers and consumers misaligned. The contract-first approach builds trust and quality from the start. Learn more: buff.ly/LRA0vYO

Share your data across organisational boundaries without giving up control over your data. Professor and consultant Arif Wider explores some practical tips for implementing DRM principles to Data Mesh for accountable data sharing. Learn more: buff.ly/t1aiNhf

From Monolith to Mesh: How to Model Data in the Age of Data Products and AI Agents Data modelling is back on centre stage. Discover how classic techniques evolve to power data products and AI agents in a modular and composable socio-technical architecture. Learn more: buff.ly/jqGOXTy

AI only scales with clear semantics and reliable data. So why are so many AI initiatives built on sand? Saskia Untiet-Kepp explores how to design contracts based on ODPS, to automatically derive an enterprise knowledge graph with Neo4j, to feed that semantic layer into GenAI. buff.ly/1vqhlt5

AI-Assisted Data Product Engineering AI is fundamentally reshaping how data systems are engineered. Kiran Prakesh and Sebastian Werner illustrate how AI-assisted techniques accelerate data product design, delivery, and governance while preserving architectural discipline and trust. buff.ly/J0TFVEQ

Is your data platform team becoming the bottleneck it was designed to eliminate? Tom De Wolf will share how the CNCF Platform Engineering Maturity Model can guide your platform journey: assess your current state, spot the gaps, and plot your next move with confidence. Learn more: buff.ly/rxJhLYU

On June 10, the day before the main conference, three full-day hands-on workshops are running. Data Mesh in Action - Jacek Majchrzak Guiding Data Mesh Lean Transformations - Paulo Caroli Implementing a Data Mesh with Data Contracts - Andrew Jones Learn more 👉 buff.ly/TyHGWVG

A single Data Product won’t give your business an ROI. Take a step back and understand what the business is trying to do. Identify the value chain between multiple data products and ensure these are usable and valuable to your org. Search Data Mesh Live on YouTube for the whole talk.

Just make sure we don’t get sued 😅 Avoiding litigation is one reason to care about good data governance, but many overlook the fact that it also creates business value. Check out Karin Håkansson's talk by searching for Data Mesh Live on Google or YouTube.

During this training we will introduce you to the idea of the Data Mesh and it's guiding principles. We will solve simple case study by applying all of the data mesh principles to some degree. You will learn how to design data product and the simple self-serve data platform: buff.ly/ZOFrnkl

The Call for Proposals for #DDDEU is open until January 16, 2026. We're looking for hands-on labs and talks. No need to submit fully formed abstracts: if you submit a rough idea we like, we'll have a conversation with you to see where it could go: buff.ly/6mfXld2

Because in a data mesh, a data landscape is decomposed into smaller data products, we can make use of their compositional nature. We extend the technique of consumer-driven contracts to enable data sharers to define testable constraints on how data can be reshared. 🎬 youtu.be/eOA5PYtuxEc

We will examine the design, governance and management of the full spectrum of data along its value chain, from raw data products to advanced ML and AI Products. We will discuss the different types of productized data, the governance roles required to manage them effectively. 🎬 youtu.be/gR_T4PzpS5w

We’ll explore a tried-and-tested approach to designing, implementing, and governing data products. You’ll leave with actionable insights and strategies that can be applied to your own context—coming directly from practitioners who helped shape the data mesh paradigm. 🎬 youtu.be/CLafDSDKpa4

Data Mesh Live offers various sponsorship tiers, from Platinum to Startup, each with unique benefits like booth space and program booklet presence. Find the perfect fit for your company. 👉 Contact sales@aardling.eu for details. #DataMeshLive #SponsorshipOptions #TechEvents

This talk will walk you through what federated computational governance is and how to implement it given examples of common policies. 🎬 youtu.be/cN4tqUxJ6-g