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Conferences / MLCon (ML Conference)

MLCON 2023 Berlin

Nov 27–30, 2023 · Maritim proArte Hotel Berlin, Berlin, Berlin, Germany

Conference
MLCon (ML Conference) Data science & ML
Dates
Nov 27, 2023 – Nov 30, 2023
Venue
Maritim proArte Hotel Berlin
Place
Berlin, Berlin, Germany
Format
Hybrid
Status
Past
Attendance
—
Website
mlconference.ai
Recorded
0 sponsors · 58 speaker appearances
Notes
Hybrid; workshop days Monday and Thursday, expo November 28-29. Sponsor lists on the archived pages are rendered by script and could not be recovered. 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
Conference Day€719—plus VATweb.archive.org
2-Day Ticket€1,119—plus VATweb.archive.org
3-Day Ticket€1,349—plus VATweb.archive.org
4-Day Ticket€1,699—plus VAT; from EUR 1,529 incl. 10% team discountweb.archive.org

Sponsors 0

No sponsors recorded

Speakers and talks 58

SpeakerCompanyRoleTalkLinks
Alexander EbbesXyna GmbHKeynoteAI beyond the mainstream—
Dominik Meißner169 Labs GmbHKeynoteThe LLM-Year in Review and an Outlook Into the Future—
Jeremy WilkenFreelancerKeynoteUnexpected Forces Shaping AI—
Katleen GabrielsUniversität MaastrichtKeynoteUnderstanding AI beyond the Hype—
Sebastian MeyenSoftware & Support Media GmbHKeynoteWelcome to ML Con 2023 in Berlin—
Tim Kahle169 Labs GmbHKeynoteThe LLM-Year in Review and an Outlook Into the Future—
Alexander EbbesXyna GmbHSpeakerPair-Programming with AI?!—
Amit BendorUnitySpeakerML Strategy Day: Leading Your AI Team to the Center Stage of Your Company—
Amit BendorUnityWorkshopML Strategy Day: ML Product Development interactive workshop—
Bernd Fondermannalgo consultSpeakerRelease Your First ML Data Product—
Bernd Fondermannalgo consultSpeakerHow to Survive AI Regulation—
Canburak TümerGoogleSpeakerEnabling BigQuery ML Models for Online Prediction without Software Development Expertise—
Christian FässlerAdnexo GmbHWorkshopML Primer for Software Specialists—
Christoph HenkelmannDIVISIO GmbHSpeakerAn Introduction to Embedding Vectors—
Christoph HenkelmannDIVISIO GmbHWorkshopML Strategy Day: ML Product Development interactive workshop—
Christoph HenkelmannDIVISIO GmbHWorkshopML Strategy Day: Machine Learning — the big picture for creating successful products—
Dr. Pieter ButeneersEmma LegalSpeakerFrom Crapbot to ChatGPT - How we finally made chatbots work—
Dr. Pieter ButeneersEmma LegalSpeakerML Strategy Day: Learning Machine Learning: Opportunities and Pitfalls—
Dr. Pieter ButeneersEmma LegalWorkshopML Strategy Day: ML Product Development interactive workshop—
Dr. Pieter ButeneersEmma LegalWorkshopFeature Engineering and Feature Selection Workshop—
Eric Dauenhauer—SpeakerBeyond 2026 - The role of AI generated Content in ML—
Eric Joachim LieseDatics ConsultingSpeakerMaximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices—
Hans RamslWeights & BiasesSpeakerFrom Nuggets to Narratives: Unearthing Language Wealth with LLMOps Shovels—
Hauke BrammerDeepUp GmbHSpeakerMLOps: 5 Ways to Deploy Your ML Model with Kubernetes—
Jochen EmigONSEI GmbHSpeakerRevealing the Cutting-Edge Technology of the Chat Your Data Project—
Jochen EmigONSEI GmbHSpeakerGenerative Pre-trained Transformers: From Understanding to Applications—
Jörg SchadArangoDBSpeakerConnecting the dots: Integrating Knowledge Graphs and Large Language Models—
Jörg SchadArangoDBWorkshopGraph-Powered Machine Learning Workshop—
Juantomás GarcíaSngularSpeakerAI is MagIA: Explaining AI Concepts with Card Tricks—
Kacper ŁukawskiQdrantSpeakerThe Current State of Multilingual Semantic Search—
Kacper ŁukawskiQdrantSpeakerWhat Is This Vector Search Buzz All About?—
Karel HaerensML6WorkshopWorkshop: Diffusion Models and Controlnets — how to train them professionally—
Lars GregoriappliedAI Initiative GmbHSpeakerControlNet: A Game Changer for AI Image Generation—
Lars GregoriappliedAI Initiative GmbHSpeakerChatGPT and Stable Diffusion: Pimping Up the Product Catalog with Advanced Generation Techniques—
Markus JungingerObjectBoxSpeakerVector Databases for Better AI Applications—
Martin StypinskiVeemg GmbHWorkshopML Primer for Software Specialists—
Martin StypinskiVeemg GmbHSpeakerThe Path to Production: Challenges and Considerations for a Friction-Free ML Roll-Out—
Marton KodokREEA.netSpeakerGen Apps on Google Cloud: PaLM and Codey APIs in Action—
Maximilian VogelBIG PICTURE GmbHSpeakerPrompt Engineering Best Practice for Productive Customer Touchpoints with Generative Language Models—
Mirza KlimentaFalcony AI GmbHSpeakerA Recommender System for an Audio-on-Demand Platform—
Moritz SchrauthXyna GmbHSpeakerPair-Programming with AI?!—
Natalia Ziemba JankowskaStepWiseSpeakerThe Untapped Potential of Audio ML Projects: Exploring Vocal Health Analysis—
Pankaj GuptaDRIMCo GmbHSpeakerHuman-like Lifelong Learning in Every AI Machine?—
Pankaj GuptaDRIMCo GmbHSpeakerOpenFLaaS: Germany's Answer to AI Sovereignty for Industrial Knowledge Digitalization—
Pierre GerardiRadix.aiSpeakerMLOps Capability Maturity Model: A guide to machine learning maturation—
Piotr StepinskiInfinitii aiSpeakerWASM in MLOps: A Possible Solution for Time-series Pipelines?—
Raoul SchlotterbeckActive Group GmbHSpeakerFunctional Deep Learning in Haskell—
René BrunnerDatamics GmbHSpeakerMaximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices—
René BrunnerDatamics GmbHWorkshopManaging Machine Learning Lifecycle with MLflow and Apache Airflow—
Robin SuxdorfData Assessment SolutionsSpeakerUtilizing Generative AI for Business Process Automation: Opportunities, Challenges, and Limitations—
Ruben BöscheData Assessment SolutionsSpeakerUtilizing Generative AI for Business Process Automation: Opportunities, Challenges, and Limitations—
Saumya GoyalDatamics GmbHWorkshopManaging Machine Learning Lifecycle with MLflow and Apache Airflow—
Siegfried EckstedtAikuSpeakerMastering ML Application Testing: Strategies for Overcoming Challenges and Ensuring Quality—
Sruthi RadhakrishnanitemisSpeakerDriving Efficiency in Realtime Industrial Operations: Unveiling Insights with Graph Databases and Machine Learning—
Tom GroganMDRxSpeakerGenerative AI: Traps and Potential Pitfalls—
Valentin SawadskiOpenDataCamSpeakerHidden in plain sight: Innovation and Ethics with Computer Vision and AI in IoT and beyond—
Vinay NarayanaLevi Strauss & CoSpeakerCreate an Enterprise-Grade ML Platform with Cloud Native Architectures—
Vinay NarayanaLevi Strauss & CoSpeakerML Strategy Day: MLOps Journey - Machine Learning As An Engineering Discipline—

Sources