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k 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 topics formats 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 generative agentic hybrid ai small large language slm llm foundation models transformer architectures attention mechanisms multimodal multimodel architectures 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 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 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 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 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 the first speakers for mlw europe 2026 are confirmed jyoti yadav senior security data scientist dean abbott chief data scientist dr felix reinhart head of machine learning eduardo sepulveda data scientist applied research martin szugat founder managing director more 2026 speakers companies that participate at machine learning week europe what our attendees think adrian loy team lead machine learning merantix momentum gmbh had a blast at mlweek europe i liked the mix of applied ml in the industry case study tracks and more tech heavy deep dives the size of the conference and events like table discussions made it easy to connect leading to a lot of insightful discussions the organization was also smooth the location lovely i will be coming back frank stadler managing director kivorex gmbh machine learning week europe 2024 was a fantastic experience the diverse range of topics and expert speakers across the three tracks was truly impressive the opportunity to connect with fellow attendees and industry leaders was invaluable i highly recommend this event and look forward to returning next year dr armin arnold head of data platforms quirix technology gmbh mlw was definitely one of my highlights this year i loved the high quality of the speakers and the sessions that covered a wide range of highly relevant topics not to forget all the opportunities to connect and discuss with other attendees i left the conference with many inspiring inputs thomas hummel data science solution architect mercedes benz ag i really enjoy that the mlw conference provides sessions from practicioners for practicioners with a level of detail that is valuable for experts but does not go into specifica as an academic conference would justin neumann data scientist axel springer the machine learning week europe conference reliably heralds a range of high quality case studies insights networking for the interested audience attending was definitely worth the time sandra romeis founder data enabler inspired data as my passion is helping companies unlock the power of their data i enjoy exploring innovative ways to apply ml and ai that s why i appreciate attending mlw europe it provides diverse insights into how companies across various industries leverage their data and apply ml effectively rohit kewalramani principal data scientist 6sense insights inc i had the incredible opportunity to attend mlw and i can t express how enriching the experience was the conference not only provided a comprehensive overview of the latest developments in ai but also offered real insights into the dynamic landscape of machine learning across the globe the sessions were expertly organized and punctual delivering valuable content and fostering a deep understanding of cutting edge technologies the diverse range of topics covered catered to both beginners and seasoned professionals creating an inclusive and engaging environment for all attendees one of the highlights was the ample networking opportunities meeting like minded individuals experts and industry leaders was invaluable opening doors to potential collaborations and expanding my professional network i left machine learning week europe feeling inspired informed and excited about the future of ai highly recommended for anyone passionate about staying at the forefront of this rapidly evolving industry peter seeberg founder asimovero ai best conference in the industry high quality speakers lots of learning high value for money nilay tufek senior ai researcher siemens it was a great experience to discuss the latest trends and technologies in machine deep learning for internet of things and artificial intelligence the best thing about the conference is to meet amazing people patryk kaźmierczak manager planning forecasting pmi the best ml conference i have ever had the pleasure of attending the practitioners and professors who presented were excellent speakers who knew the presented subject very well and were also very open to corridor discussions moreover the conference participants were eager to exchange views and ideas which was a perfect complement to the entire conference marius demary head of data strategy analytics datalab gmbh member of the relevance group machine learning week surpassed expectations with insightful speakers covering diverse topics offering valuable insights into varied data strategies an enriching experience leaving me inspired and well prepared for the dynamic world of analytics machine learning week the facts 0 years 0 total events 0 speakers 0 companies impressions of previous machine learning week conferences need more information 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 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 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 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 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 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 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 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 are you considering new speakers for machine learning week for speaker information and proposal submissions click here newsletter sign up now to receive news insights interviews and much more about machine learning week europe your advantages you ll receive a 10 discount code you ll always be among the first to know when the program is online you re saving money because we remind you of the price breaks you get to know our speakers even before the conference because we present a selection of the sessions including 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