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Conferences / MLCon (ML Conference)

MLcon Munich 2026

Jun 22–26, 2026 · Holiday Inn Munich City Centre, Munich, Bavaria, Germany

Conference
MLCon (ML Conference) Data science & ML
Dates
Jun 22, 2026 – Jun 26, 2026
Venue
Holiday Inn Munich City Centre
Place
Munich, Bavaria, Germany
Format
Hybrid
Status
Past
Attendance
—
Website
mlconference.ai
Recorded
7 sponsors · 54 speaker appearances
Notes
Hybrid ('Munich or online'); strategy day June 23, conference days and expo June 24-25, workshop days June 23 and 26. Sponsors from the organizer's partner database for the Munich 2026 edition (shown on the Munich page; tier names as stored, Neo4j and Nebius appear in two categories); the organizer brand devmio is omitted. Prices are regular list prices excluding VAT ('instead of' prices). Speakers: every program session listed for this edition in the organizer's program database (as rendered on the program/archive pages); role follows the session type (keynote/workshop/session).

Ticket prices

TicketPriceValid untilNotesSource
AI Product Strategy Day€721—plus VATweb.archive.org
2-Day Pass€1,199—plus VATweb.archive.org
3-Day Pass€1,399—plus VATweb.archive.org
4-Day Pass€1,754—plus VATweb.archive.org
All Conference Days + Bootcamp Days€2,299—plus VAT; from EUR 2,069 incl. 10% team discountweb.archive.org

Sponsors 7

Gold 2

Silver 2

Bronze 1

Other 2

Speakers and talks 54

SpeakerCompanyRoleTalkLinks
Agata ChudzinskatheBlue.ai GmbHKeynoteFrom Language to Reality: Why the Future of AI Is Spatial—
Dr. Pieter ButeneersEmma LegalKeynoteWelcome and Opening Keynote of MLcon Munich 2026—
Markus AndrezaküberproductKeynoteWhen Code Becomes Free: The Organizational Bottleneck of the AI Age—
Mikhail RozhkovNebiusKeynoteFrom Local to Production: Running AI Workloads Anywhere with Docker + Serverless—
Paul DubsXpress AIKeynoteOmega Programming: Leading AI Systems That Write Code—
Sebastian MeyenSoftware & Support Media GmbHKeynoteWelcome and Opening Keynote of MLcon Munich 2026—
Alexander IsaencoWaveAccessSpeakerFrom Confidence to Constraints: How Reality Shaped Our Product—
Alexander LammersWavestoneSpeakerAgentic AI: Autonomous AI Agents for Scalable Business Processes—
Amit BendorUnityWorkshopAI – From Idea to Production—
Apurva MisraSentickWorkshopWorkshop: Tooling & Patterns for Reliable AI-Powered Applications—
Ben DechraiZencoderSpeakerBuilding Identity into LLM Workflows with Verifiable Credentials—
Ben DechraiZencoderSpeakerWhen LLMs Go Rogue: Securing Prompts and Ensuring Persona Fidelity—
Bob HruskaSparxSystems Software GmbHSpeakerFrom Code to Architecture: AI-Driven Reverse Engineering in Practice—
Christian LiebelThinktecture AGSpeaker“Hello, AI?!” — Real-time Interactions with Language Models, Local and Offline-Capable—
Christian Schmittiunera GmbH & Co. KGSpeakerArchitecting Private AI Agents with MCP and Local Inference—
Daniel SoglSHI International CorpSpeakerSpec Driven Development: The End of Vibe coding—
David SchmidigProvableWorkshopUnlocking the Power of AI: ML Fundamentals Bootcamp Day 2—
David SchmidigProvableWorkshopUnlocking the Power of AI: ML Fundamentals Bootcamp Day 1—
Dina Bousdar AhmedE.ONSpeakerFrom Proof-of-Concept to Production: Why Most AI Initiatives Fail – and What Separates the Winners—
Dr. Pieter ButeneersEmma LegalSpeakerProduct Innovation in the Age of GenAI—
Dr. Pieter ButeneersEmma LegalWorkshopAI – From Idea to Production—
Enrique Lopez ManasSnapp Mobile GmbHSpeakerGuardrails and Sanity Checks: Verifying LLM Input and Output for Developers—
Eric Joachim LieseDatics ConsultingSpeakerAn End-to-End MLOps Pipeline — Practical Experiences—
Jeremy WilkenFreelancerWorkshopThe Augmented Engineer Workshop [Onsite Only]—
Joel Aytunc UnHolcimSpeakerProduction Readiness Is a Feature: Guardrails for ML Systems—
Johanna WachsmannYouGovSpeakerGood Pipes Beat Big Models: Scalable NLP Pipelines for Receipt Understanding—
John DaviesIncept5SpeakerThe LLM Smörgåsbord—
John DaviesIncept5WorkshopHands-On Bootcamp: Vibe Coding & GenAI Development Day 2—
John DaviesIncept5SpeakerBreaking Down an LLM for Its Parts—
John DaviesIncept5WorkshopHands-On Bootcamp: Vibe Coding & GenAI Development Day 1—
Markus FlickeScholar InboxSpeakerHow We Solved the Cold Start Problem With Active Learning—
Marouane KhoukhNebiusHackathonBuilding and Scaling AI Applications with Serverless Infrastructure [Onsite only]—
Martin StypinskiVeemg GmbHSpeakerFrom Lab to Production: Making Computer Vision Systems Work in the Real World—
Mashur HaiderNebiusSpeakerInference Is Infrastructure: What Actually Determines Cost, Speed, and Reliability at Scale—
Max MarschallThinktecture AGSpeakerMCP, A2A, and AG-UI: The Agentic Protocol Stack—
Maxim SalnikovMicrosoftSpeakerCritical Evaluation of AI Coding Assistants: Productivity Gains vs. Security Risks—
Melanie Bauersoftware architectsSpeakerRunning Open WebUI or LibreChat with LiteLLM Proxy in Azure—
Michal HarakalDeutsche Telekom AGSpeakerOn-Device AI: from dumb client to hybrid intelligence—
Mirza KlimentaFalcony AI GmbHSpeaker[Cancelled] Predicting Downtime Reasons in Manufacturing—
Nimar BlumeClickHouseSpeakerSkill issue: Lessons from skilling up coding agents to use LLM observability application Langfuse—
Pascal WylerArandu Technologies GmbHWorkshopUnlocking the Power of AI: ML Fundamentals Bootcamp Day 2—
Pascal WylerArandu Technologies GmbHWorkshopUnlocking the Power of AI: ML Fundamentals Bootcamp Day 1—
Rabieh FashwallGaleriaWorkshopSolving the ML Production Puzzle: A Practical Guide to Modern MLOps—
Rainer Stropeksoftware architectsWorkshopWorkshop: Technical Deep Dive in Model Context Protocol—
René BrunnerDatamics GmbHSpeakerAn End-to-End MLOps Pipeline — Practical Experiences—
René BrunnerDatamics GmbHSpeakerProduction Readiness Is a Feature: Guardrails for ML Systems—
Saif EllafiBSH HOME APPLIANCES GROUPSpeakerYou Can’t Improve What You Can’t See: Evaluating AI Agents and RAGs—
Saumya GoyalDatamics GmbHSpeakerYou Can’t Improve What You Can’t See: Evaluating AI Agents and RAGs—
Sinda KhenineElectroluxSpeakerFrom Models to Minds: Bridging Traditional ML with Agentic AI—
Thomas Bley-SpeakerRun LLMs Locally—
Tim Freyiunera GmbH & Co. KGSpeakerArchitecting Private AI Agents with MCP and Local Inference—
Ulrich BodenhausenVirtual Physic AI Uli BodenhausenSpeakerGenAI for Video: How to Avoid IP Issues—
Yatindra ShashiIntelSpeakerBuilding Domain-Specific AI Agents On-Prem: Open-Source LLMs and MCP in Practice—
Yoav NordmannTikalSpeakerRe-Imagine Anomaly Detection with GenAI—

Sources