Speaking

Technical sessions on enterprise data, document understanding, context engineering, and reliable AI agents.

Sinda Khenine conference reel poster

Conference timeline

Sessions

View official ML Conference profile
01

Upcoming

Berlin 2026

Context Engineering Is the New Prompt Engineering

Practical patterns for selecting, securing, refreshing, validating, and observing the context used by enterprise AI agents.

02

Upcoming

Berlin 2026

From Context to Action

Bounded reasoning, tool contracts, action authorization, trajectory evaluation, and graduated autonomy.

03

Completed

Munich 2026

Document Understanding at Scale

Low-quality images, noisy OCR, changing layouts, modular extraction, validation, and human review.

04

Completed

Berlin 2025

Unlocking Strategic Insight with Unified Data Repositories and AI Copilots

Unified data repositories and AI copilots connect fragmented information to strategic analysis.

05

Completed

Munich 2025

Leveraging Unified Data Repositories and AI Copilots for Strategic Optimization

Unified repositories and AI copilots support consistent analysis across distributed business data.

06

Completed

Munich 2025

AMA Session with the ML Experts

An open session on machine learning practice, enterprise data, and applied AI.

Featured Berlin 2026 masterclass

Two connected sessions

Context Engineering Is the New Prompt Engineering

What must an enterprise agent know before it can be trusted?

From Context to Action

What must be engineered before that trust can extend to action?

Technical themes

Enterprise data systemsBusiness intelligenceDocument understandingContext engineeringReliable AI agentsAgent evaluationGovernanceTechnical architecture

Contact for speaking

Speaking enquiries

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