Machine Learning Week
Europe 2026
Everyone is talking about AI. No one is doing machine learning anymore.
Wrong.
Machine learning is the machine room of AI. This is where the performance of the AI model is generated. This is where the benefits for users are determined. This is where value is created for the company.
At Machine Learning Week Europe 2026, for the 14th time, we’ll take an in-depth look into the machine learning rooms of leading companies. ML practitioners show you how they’re driving their businesses forward with data and AI. Renowned experts from around the world present proven and useful techniques and tools for the implementation and operation of AI solutions in detail.
You are the conference and the community: bring your individual questions, problems, and challenges. Because this year, we’ve scheduled even more time for extensive Q&A sessions. So, there’s even more room for intensive exchange. And we’ve created new, interactive formats. Here, you can discuss new trends in small groups and experiment with new technologies together.
Less slides, more vibes!
Machine Learning Week Europe in Munich in November 2026 promises variety:
– An international audience instead of the same old bubble
– From classic ML to multi-model architecture instead of LLM monotony
– From business and industry to healthcare and finance use cases
– From analytical AI to generative AI to agentic AI to physical AI
– Keynotes, case studies, deep dives, table discussions, and many other formats
– Data scientists meet ML engineers; AI visionaries chat with analytics managers
With Machine Learning Week Europe 2026, we’re creating a safe haven for the European machine learning community: To ensure you can exchange ideas confidentially, the conference will be held under the Chatham House Rule.
Don’t miss the perfect event for in-depth knowledge-sharing, interactive, expert discussions and intensive industry networking!
Register here or apply to speak until end of July. Sign up for our newsletter to stay tuned.
Formats
- Keynotes: 45 min. presentation + 15 min. Q&A about an important topic, moving trend or inspirational insights by a knowledgeable expert.
- Case Studies: 30 min. presentation + 15 min. Q&A about a real-world ML / AI application in business, industry healthcare etc., its technical, analytical, organizational, legal etc. challenges, the solutions and its business impact for the company.
- Deep Dives: 60 min. interactive session with in-depth details about a specific tool, technique or topic for applied ML / AI for advanced users with code examples, live demos etc. and as few slides as possible. Bring-your-own-device to test it out and join in!
- Table Discussions: 60 min. guided roundtable discussion with conference participants on a specific topic; the table captains will present the results at the end of the conference.
- Speed Solving: In 20 minutes, two participants will each present their current project and their biggest challenge. Together, they will look for new solutions.
- Clinics (e.g. Data ~, Prompt ~, Agent ~, Strategy ~): One expert, one topic, and you bring-your-own-project; together, the expert and the audience will solve your challenges in 60 minutes.
- Tool Battle: Still fighting over Python vs. R or Codex vs. Claude? Bring-your-own-tool and solve a prescribed task. Then we’ll see which tool wins.
- Ask Us Anything: Still have questions at the end of the conference? Then take this opportunity to ask the speakers everything you’ve always wanted to know.
Topics
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Classic ML
- Machine, Deep & Reinforcement Learning
- Data, Text, Process & Network Mining
- Forecasting & Event Detection
- Times Series Models, Bayesian Models, Markov Chains, etc.
- Synthetic Data & Federated Learning
- Probabilistic Programming Languages
- Feature Engineering & Model Management
- … and more!
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Generative, Agentic & Hybrid AI
- Small / Large Language (SLM/LLM) & Foundation Models
- Transformer Architectures & Attention Mechanisms
- Multimodal & Multimodel Archictures
- Prompt & Context Engineering
- Agentic AI & Multi-Agent Systems
- RAG, Fine-Tuning, MCP, A2A etc.
- Talk-to-Data / Chat-with-Data
- LLM-Assisted Coding & Machine Learning
- EU AI Act, Data Act & GDPR
- … and more.
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Business & Finance Applications
- Marketing Mix Modelling
- Customer Lifetime Value
- Lead & Affinity Scoring
- Churn Prediction & Prevention
- Demand & Revenue Forecast
- Response & Uplift Modelling
- Dynamic Pricing & Couponing
- Dynamic & Multitouch Attribution
- Bid Optimization
- Website Personalization
- Recommender Systems
- Chat Bots & Virtual Agents
- Applicant & Credit Scoring
- … and many more!
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Industry & Logistics Applications
- Predictive & Prescriptive Maintenance
- Industrial AI & Physical AI
- Object & Action Recognition
- Visual Inspection & Damage Detection
- Capacity Prediction & Optimization
- Demand Forecasting & Predictive Inventory
- Route & Stock Optimization
- Autonomous Driving & Flying
- Anomaly Detection & Root Cause Analysis
- Fault Prediction & Failure Detection
- Risk Prediction & Prevention
- Energy Consumption & Generation Prediction
- … and many more!
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Healthcare Applications
- Clinical Decision & Diagnosis Support (CDS)
- Disease & Cancer Detection
- Rare Diseases Identification
- Risk Prediction & Scoring
- Customer / Patient Segmentation
- Survival / Mortality Prediction
- Fraud Detection
- Readmission Reduction
- Capacity & Staff Planning
- Robotic Process Automation
- Drug Discovery
- Robotic Surgery
- Personalized / Precision Medicine
- … and many more!
Companies that participate at Machine Learning Week Europe
What our attendees think!
Machine Learning Week — the facts:
Years
Total Events
Speakers
Companies
Impressions of previous Machine Learning Week Conferences
Need more information?
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What's the relationship between Machine Learning Week, Predictive Analytics World and Deep Learning World?
Machine Learning Week evolved from the Predictive Analytics World (PAW) conferences, which began in 2009, running in multiple cities in Europe and the US each year. From 2018, in response to vendor and attendee requests to have one place they could meet everybody, various vertical conferences (PAW Business, PAW Industry 4.0, PAW Financial, PAW Healthcare), were brought together in one mega-event in Las Vegas. This was met with an overwhelmingly positive reception from all participants. Deep Learning World was also launched as part of the family in 2018 and PAW Climate in 2021.
Machine Learning Week Europe is following the same path, bringing some verticals together.
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What is predictive analytics?
Predictive analytics optimizes marketing campaigns and website behavior to increase customer responses, conversions and clicks, and to decrease churn. Each customer’s predictive score informs actions to be taken with that customer — business intelligence just doesn’t get more actionable than that.
Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning from the experience of your organization.
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Is predictive analytics different from forecasting?
Machine Learning Week often include select sessions on forecasting since it is a closely related area, and, in some cases, predictive analytics is used as a component to build a forecast model.
However, predictive analytics is something else entirely, going beyond standard forecasting by producing a predictive score for each customer or other organizational element. In contrast, forecasting provides overall aggregate estimates, such as the total number of purchases next quarter. For example, forecasting might estimate the total number of ice cream cones to be purchased in a certain region, while predictive analytics tells you which individual customers are likely to buy an ice cream cone. -
Is this a “data mining” conference?
Yes. Data mining is often used synonymously with predictive analytics, and, in any case, predictive analytics is a type of data mining.
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Is this a “data science” conference?
Yes. Predictive analytics is a form of data science. Moreover, it is the most actionable form. A predictive model generates a predictive score for each individual, which in turn directly informs decisions for that individual, e.g., whether to contact, extend a retention offer, approve for credit, investigate for fraud, or apply a certain medical treatment. Rather than solely providing insights, predictive analytics directly drives or informs millions of operational decisions.
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Is this a “big data” conference?
Yes. Predictive analytics is a key method to truly leverage big data. At the center of the big data revolution is prediction. The whole point of data is to learn from it to predict. What is the value, the function, the purpose? Predictions drive and render more effective the millions of organizational operational decisions taken every day.
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Is this an AI conference?
Yes. Artificial intelligence (AI) is a broad, subjective term with many possible definitions—but by any definition, it always includes machine learning (predictive modeling) as an example of AI technology/capabilities.
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Is Machine Learning Week run by a software vendor?
No. Machine Learning Week provides a balanced view of predictive analytics methods and tools across software vendors and solution providers.
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Is Machine Learning Week a research conference?
No. Machine Learning Week is focused on today’s commercial deployment of predictive analytics, rather than academic or R&D activities. Separately, there are a number of research-oriented conferences; in predictive analytics’ commercial application, we are essentially standing on the shoulders of those giants known as researchers.
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Are you considering new speakers for Machine Learning Week?
For speaker information and proposal submissions, click here.