Conferences / MLCon (ML Conference)
MLCON 2022 Munich
Jun 27–29, 2022 · Sheraton Munich Arabellapark Hotel, Munich, Bavaria, Germany
- Conference
- MLCon (ML Conference) Data science & ML
- Dates
- Jun 27, 2022 – Jun 29, 2022
- Venue
- Sheraton Munich Arabellapark Hotel
- Place
- Munich, Bavaria, Germany
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- mlconference.ai
- Recorded
- 5 sponsors · 31 speaker appearances
- Notes
- Hybrid ('Munich or Online'), conference June 27-29 (expo June 28-29), followed by the co-located ML Summit training event June 29 - July 1, 2022; ML Summit-only sessions after June 29 are not included. Sponsors: the organizer's sponsor widget titled 'Sponsors of the MLCON 2022 Munich' (archived on the Berlin page) repeats the same logos under Gold, Silver and Special Sponsor tabs, so tiers are unknown; organizer brands (devmio, entwickler.de, S&S Media) are 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
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Workshop Day | €689 | — | plus VAT | web.archive.org |
| ML Intro Day | €689 | — | plus VAT | web.archive.org |
| 2-Day Pass | €1,059 | — | plus VAT | web.archive.org |
| 3-Day Pass | €1,269 | — | plus VAT; early-bird price until June 2 from EUR 1,043 incl. 10% team discount | web.archive.org |
| 4-Day Ticket for ML Summit + Conference | €1,709 | — | plus VAT | web.archive.org |
| 5-Day Ticket for ML Summit + Conference | €1,919 | — | plus VAT | web.archive.org |
Sponsors 5
Unspecified tier 5
Speakers and talks 31
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Christoph Henkelmann | DIVISIO GmbH | Keynote | Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn - Is endless scaling really the way forward? | — |
| Frank Schmidt-Küntzel | Telefónica Tech | Keynote | The latest greatest in IoT Connectivity fuels the expansion of the IoT world | — |
| Mirko Ross | asvin | Keynote | IoT and Sustainability | — |
| Oliver Neubauer | TOP seven GmbH & Co. KG | Keynote | Automating inspections with smart drones | — |
| Sebastian Meyen | Software & Support Media GmbH | Keynote | Welcome to the first day of the ML Con/ IoT Con and opening keynote: Brains vs. Brawn - Is endless scaling really the way forward? | — |
| Aditya Gulgani | Meta | Speaker | State-of-the-art in large scale recommender systems | — |
| Adrian Boguszewski | Intel | Speaker | Optimize your network inference time as a data scientist, not as a web developer | — |
| Alex Polyakov | Adversa.AI | Speaker | Threat modeling and security assessment for ML models | — |
| Amit Bendor | Unity | Speaker | Warning: this is not another MLOps best practices talk | — |
| Andreas Bühlmeier | — | Speaker | How Machine Learning is (becoming) creative | — |
| Christian Winkler | datanizing | Speaker | Introduction to Sentence Embeddings | — |
| Danilo Dresen | taod Consulting GmbH | Speaker | IoT Analytics at Scale – Customer based product development | — |
| Dorra Nouira | Boostrs | Speaker | Using A.I to make recommendations for career progression | — |
| Dr. Pieter Buteneers | Emma Legal | Workshop | Workshop: Machine Learning 101++ Using Python | — |
| Dr. Pieter Buteneers | Emma Legal | Speaker | Self-supervised Learning: Teaching AI common sense | — |
| Håkan Silfvernagel | Miles Oslo AS | Speaker | Machine Learning on the Edge using TensorFlow Lite | — |
| Hauke Brammer | DeepUp GmbH | Speaker | Kotlin? For Machine Learning? | — |
| Hauke Brammer | DeepUp GmbH | Speaker | Keep an eye on AI — Monitor ML models in production | — |
| Ioannis Tsamardinos | JADBio | Speaker | How AutoML can give companies, with few data scientists, a key advantage | — |
| Johannes Hötter | Edgeless Systems | Speaker | Greenfield and Brownfield Data Labeling – from Idea to Production with data-centric AI | — |
| Jon Bratseth | Vespa.ai | Speaker | Vector embedding AI in production systems | — |
| Julien Schuermans | ML6 | Speaker | The unreasonable effectiveness of simple models | — |
| Kacper Łukawski | Qdrant | Speaker | k-NN on steroids - an introduction to approximate nearest neighbours | — |
| Lars Gregori | appliedAI Initiative GmbH | Speaker | Honey, I shrunk the TinyML | — |
| Laura Kölbl | MATHEMA GmbH | Speaker | Nature inspired optimization algorithms / Algorithm-based Staffing with Ant Colony Optimization | — |
| Leonardo De Marchi | idea.io | Workshop | Workshop: Advancements in Natural Language Processing (NLP) | — |
| Lisa Becker | Pure App | Speaker | The importance and pitfalls of pseudonymization | — |
| Michael Osterrieder | vAIsual Inc | Speaker | Dataset design for technically and legally clean ML development | — |
| Nikolay Manchev | Domino Data Lab | Speaker | Underspecified pipelines: Why good models underperform in production | — |
| Rachid Kherrazi | AKKA | Speaker | Why Security is Important in ML and How to Secure your ML-based Solutions | — |
| Tim Frey | iunera GmbH & Co. KG | Speaker | How We Covered Concept Drifts In Time Series Forecasting For Public Transport | — |
Sources
- https://mlconference.ai/archive/mlcon-2022-munich-archive/
- https://mlconference.ai/munich/program-munich/
- https://web.archive.org/web/20220626/https://mlconference.ai/munich/
- https://web.archive.org/web/20220528/https://mlconference.ai/munich/tickets-munich/
- https://web.archive.org/web/20220528/https://mlconference.ai/munich/location-munich/
- https://web.archive.org/web/20221130035032/https://mlconference.ai/berlin/