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Conferences / MLCon (ML Conference)

ML Conference 2019 Berlin

Dec 9–11, 2019 · Steigenberger Hotel am Kanzleramt, Berlin, Berlin, Germany

Conference
MLCon (ML Conference) Data science & ML
Dates
Dec 9, 2019 – Dec 11, 2019
Venue
Steigenberger Hotel am Kanzleramt
Place
Berlin, Berlin, Germany
Format
In person
Status
Past
Attendance
—
Website
mlconference.ai
Recorded
12 sponsors · 45 speaker appearances
Notes
Power workshop day Dec 9, conference and expo Dec 10-11. Ticket included free access to the co-located Voice Conference. Prices are regular list prices excluding VAT ('instead of' prices; the page showed 10% team-discount prices). Speakers: full program from the archived program page.

Ticket prices

TicketPriceValid untilNotesSource
Conference Day€669—plus VATweb.archive.org
Workshop Day€669—plus VATweb.archive.org
ML Intro Day€669—plus VATweb.archive.org
2-Day Ticket€1,029—plus VAT; from EUR 926 with 10% team discountweb.archive.org
3-Day Ticket€1,239—plus VAT; from EUR 1,115 with 10% team discountweb.archive.org

Sponsors 12

Silver 3

Bronze 3

Media 6

Speakers and talks 45

SpeakerCompanyRoleTalkLinks
Aleksandr MesterWaveAccessSpeakerEssential Workshop to Exploratory Data Analysis and Feature Engineering [SOLD OUT]—
Alexey GrigorevOLX GroupSpeakerAutomatic Image Cropping for Online Classifieds: a Journey from a Master Thesis to Production—
Aude Gouaux-LangloisUdK BerlinSpeakerVoice and Identity—
Belinda SykoraUdK BerlinSpeakerVoice and Identity—
Carsten BreithauptLufthansa GroupSpeakerAI for EA: How Artificial Intelligence facilitates Enterprise Architecture at Lufthansa—
Christoph HenkelmannDIVISIO GmbHSpeakerFrom Paper to Product – How we implemented BERT—
Christoph WindheuserThoughtworksSpeakerContinuous Delivery for Machine Learning Applications with Open Source Tools—
Dagmar SchulleraudEERING GmbHSpeakerNext generation AI: Emotional Artificial Intelligence based on audio—
Daniel SchruhlThoughtworksSpeakerContinuous Delivery for Machine Learning Applications with Open Source Tools—
David GlavasTechnical University of MunichSpeakerEverything you need to know about Security Issues in today’s ML Systems—
Dr. Andreas BühlmeierDBC Enterprise IT ConsultingSpeakerAll You Need to Know now about (Deep) Reinforcement Learning—
Dr. Christian HidberbSquareSpeakerHands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0 [SOLD OUT]—
Dr. Eldar SultanowCapgeminiSpeakerAI for EA: How Artificial Intelligence facilitates Enterprise Architecture at Lufthansa—
Dr. Janina LohUniversity of Vienna, Faculty of Philosophy and EducationSpeakerRobots and Ethics in the digital Age—
Dr. Neda NavidiAirSpeakerHuman / AI Interaction Loop Training as a new Approach for interactive Learning with Reinforcement-Learning Agents—
Dr. Yonit HoffmanWindwardSpeakerData to the Rescue! Predicting and Preventing Accidents at Sea—
Hans-Peter KuessneradessoSpeakerHow to raise intelligent Chatbots, keep them smart and make them useful—
Hauke BrammerNovatecSpeakerDelivering Rocketfuel – Pipelines für Deep Learning mit Small Data—
Ismail YildizTURKCELLSpeakerReal-life Revenue generating Image/Video Processing Use Cases in Telco Sector—
Jens BeyerLAVRIO.solutions GmbHSpeakerDockerize, Standardize, Deploy and Scale your own Machine Learning Model—
Jens PolsteradessoSpeakerHow to raise intelligent Chatbots, keep them smart and make them useful—
Jeremy WilkenDesign for VoiceSpeakerConversational Design Workshop: Build awesome Chatbots and Voice Assistants [SOLD OUT]—
Jeroen BoeyeFaktionSpeakerMachine Learning 101++ using Python [SOLD OUT]—
Joris BoeyeZF Wind PowerSpeakerMachine Learning 101++ using Python [SOLD OUT]—
Juha KiiliValohaiSpeakerAsynchronous and version-controlled data science with Jupyter notebooks—
Mathias BurgerTNGSpeakerClient-side Artificial Intelligence in JavaScript using Tensorflow.js—
Matthias HofmaierNovatecSpeakerHow We Used Machine Learning to Detect Stress among our Berlin Colleagues—
Ming YongGoolge IncSpeakerMediaPipe: Building real-time cross-platform (mobile, web, edge, desktop) Video Audio ML Pipelines—
Murat VurucuLatentine GmbHSpeakerExplainable AI with Machine Teaching—
Natalie BeyerLAVRIO.solutions GmbHSpeakerFirst Steps to Interpretable Machine Learning—
Nicolas KuhauptFraunhofer IEESpeakerPrivacy-preserving Machine Learning—
Oleksandr HoncharNeurons LabSpeakerDeep Learning: the final Frontier for Time Series Analysis?—
Oliver ZeigermannembarcSpeakerUnderstanding how Neural Networks work by looking at the Low Level API of TensorFlow 2—
Oliver ZeigermannembarcSpeakerHands-on Workshop: Reinforcement Learning with TF-Agents & TensorFlow 2.0 [SOLD OUT]—
Özge SahinSciScry GmbHSpeakerMarket Segmentation in the Era of Big Data—
Peter Seebergasimovero.AISpeakerDeveloping ML for Trustworthy AI—
Prof. Adam BlumAuger.AISpeakerAI is eating Software – how Second Generation AutoML will replace Software Development—
Samar SinglaJungleworksSpeakerSpeeding up last-mile Delivery with AI—
Srividya RajamaniSiemensSpeakerBuilding emotionally intelligent Machines—
Steven BourkeOutfitterySpeakerBuilding Human-in-the-Loop Machine Learning Systems – Fashion 2.0—
Thiago da Silva AlvesJArchitectsSpeakerHoney Bee Conservation using Deep Learning—
Thomas AbendVITAS.aiSpeakerVoice Assistants for Customer Support based on Deep Learning—
Vladimir RybakovWaveAccessSpeakerEssential Workshop to Exploratory Data Analysis and Feature Engineering [SOLD OUT]—
Vladimir RybakovWaveAccessSpeakerCase Study: Making the Most out of a Doomed Project—
Waren Longsource{d}SpeakerHow to Identify Collaborators in large Codebases using Unsupervised Learning—

Sources