WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

From Data Mesh to AI Mesh: Integrating Distributed Intelligence on Decentralized Data Architectures

Olga Woschitz , Thomas Görz

AI pilots stall without a trustworthy data foundation. Evolve your data mesh into an AI mesh to deliver distributed, domain-specific intelligence as a product at scale.

Pause
Mute Enter Fullscreen
#1 about 3 min

Identifying the scaling crisis in enterprise AI

A lack of governed and accessible data prevents organizations from moving agentic AI projects beyond the pilot phase.

#2 about 3 min

Core principles of decentralized data mesh architecture

Decentralized data ownership and federated governance enable scalable and self-service data management across domains.

#3 about 2 min

Addressing the human bottleneck in data interpretation

Manual metadata curation and human decision-making prevent organizations from scaling intelligence at the speed of data.

#4 about 3 min

Designing AI mesh through distributed domain intelligence

Distributing intelligence through specialized agents and standard protocols enables automated decision-making and composable intelligence products.

#5 about 3 min

Navigating the maturity stages of AI mesh

Organizations must build a solid data foundation before advancing from basic automation to autonomous self-optimizing systems.

#6 about 2 min

Establishing an AI-ready data foundation for agents

Data must be findable, understandable, trustworthy, and consumable for agents to execute intent-based semantic searches accurately.

#7 about 6 min

Solving cross-domain ESG reporting with distributed architecture

Distributing data ownership across departments streamlines complex regulatory reporting and eliminates manual reconciliation workflows.

#8 about 4 min

Building decentralized data mesh infrastructure on AWS

Utilizing Amazon SageMaker and DataZone environments establishes clear domain ownership and simplified data catalog discovery.

#9 about 4 min

Automating regulatory compliance through distributed AI agents

Integrating domain-specific intelligence allows automated validation of regulatory changes without manual cross-department reconciliation.

#10 about 3 min

Defining core capabilities for enterprise AI mesh

Distributed agents, a centralized registry, model locality, and standard protocols ensure privacy and seamless interoperability.

#11 about 8 min

Implementing an AI mesh architecture stack on AWS

Layering agent cores and interoperability protocols over a data foundation creates a scalable and governed intelligence network.

#12 about 4 min

Exploring data catalogs in SageMaker Unified Studio

Navigating data catalogs and inspecting schema lineage highlights the manual effort required before implementing an intelligence layer.

#13 about 4 min

Orchestrating distributed agents for cross-domain queries

Using an orchestrator agent automates data retrieval across multiple domains while maintaining strict lineage and access control.

#14 about 3 min

Implementing AI governance and adoption strategies

Extending existing data policies with agent guardrails and model monitoring enables secure transitions to intelligence-as-a-product models.

Matching moments

1:50 min

The future of data engineering and AI mesh

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:29 min

The impact of agentic AI on data architecture

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:11 min

Decentralizing data bottlenecks with data mesh principles

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:25 min

Adopting a decentralized data mesh architecture model

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:52 min

Establishing a structured framework for enterprise AI

Julian Joseph · LIVE

4:20 min

Connecting data and modern AI with data fabric architecture

Andreas Christian · LIVE

More from World Congress 2026 Europe - Virtual Stage

One Does Not Simply Make Architecture Decisions Alone thumbnail
36:15
2 months ago

One Does Not Simply Make Architecture Decisions Alone

Vladas Diržys

From Black Box to Glass Box : Bedrock AgentCore Observability thumbnail
21:15
3 months ago

From Black Box to Glass Box : Bedrock AgentCore Observability

Yasemin Aktürk

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence thumbnail
30:41
3 months ago

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence

Julia Grosse

Better Together: Leveraging Your Observability Tools as a SIEM thumbnail
39:06
3 months ago

Better Together: Leveraging Your Observability Tools as a SIEM

Mathias Palmersheim

ChatGPT Apps: From Chat to Checkout thumbnail
30:29
3 months ago

ChatGPT Apps: From Chat to Checkout

Aaron Koivunen

Interior Decorating (TypeScript Decorators) thumbnail
29:22
3 months ago

Interior Decorating (TypeScript Decorators)

Michael Dowden

Related videos

Data: The Deciding Factor in AI Success thumbnail
28:53
World Congress 2026 Europe • 3 months ago

Data: The Deciding Factor in AI Success

Damandeep Kochhar, Jörg Tewes, Siddhika Nevrekar, Ed Huang, Laura Moritz

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • over 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

The Missing Layer Between Enterprise Data and AI Agents thumbnail
30:17
World Congress 2026 Europe • 3 months ago

The Missing Layer Between Enterprise Data and AI Agents

Jannis Eickenroth, Sebastian Klenke

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact thumbnail
23:33
World Congress 2025 • about 1 year ago

Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact

Oliver Will

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow thumbnail
21:22
World Congress 2025 • about 1 year ago

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

Kapil Gupta

Big Business, Big Barriers? Stress-Testing AI Initiatives. thumbnail
27:53
World Congress 2024 • about 2 years ago

Big Business, Big Barriers? Stress-Testing AI Initiatives.

Marin Niehues

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.