Talk Title | Company | Speaker(s) | Slides / Video |
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KNIME Data Talks - Lab Data 2021 | |||
The Value of End-to-End Lab Automation | Biosero | Rob Harkness | slides, video |
How SiLA Supports Open Interoperability in the Laboratory | SiLA Consortium | Patrick Courtney | slides, video |
Measurement of Cell Density with KNIME and SiLA for Cell-Culture | Hit Discovery Constance GmbH | Michael Koeppl | slides, video |
Using KNIME to FAIRify Data | KNIME | Alice Krebs | slides, video |
Chemometrics with KNIME – Analysis of NIR Data | (BASF SE) | Miriam Mathea | video |
Challenges in Lab Digitization Efforts (Panel Discussion) | KNIME,Merck KGaA,BASF SE,Hit Discovery Constance GmbH,SiLA Consortium,Biosero | Jeany Prinz, Mireille Krier, Miriam Mathea, Michael Koeppl, Patrick Courtney and Rob Harkness | video |
KNIME Data Talks - Audit 2021 | |||
Data Analytics Within Internal Audit | ING | Tjasse Biewenga | slides, video |
How KNIME Became the Global Data Analytics and Wrangling Tool at Société Générale | KNIME | Aadesh Gandhre, Société Générale | video |
Anomaly Detection: Unknown Patterns in Anti-Money Laundering | Rabobank | Michiel Krol | slides, video |
The Best Way to Start with Data Analytics is to Start with Data Analytics | Tata Steel Europe | Eddy van der Geest | slides, video |
Process Automation and Analytics for Audit - Buzzwords or Possibility? | KNIME | All panelists. Moderated by: Mihály Medzihradszky | video |
KNIME Spring Data Talks 2021, Online | |||
Visual Programming for Data Science | KNIME | Michael Berthold | slides, video |
Using Predictive Marketing Models to Maximize Relevance for our Customers | ANWB | Hans Samson, Marlene Hakvoort | slides |
Creating an Analytical Data Model for Banking Supervision | Qatar Financial Centre Regulatory Authority (QFCRA) | Perttu Heikki Korhonen | slides, video |
Data Science with KNIME, Jupyter, and Tableau using COVID-19 Projections | Swisscom | Dennis Ganzaroli | video |
A Year of Pandemic: How KNIME Helps Find New Drug Candidates | Uppsala University | Alzbeta Tuerkova | slides, video |
Intelligent Automation Solutions with KNIME on AWS | Amazon Web Services | Madhu Raman | slides, video |
How to Use KNIME in Application Building | Forest Grove | Lexi Harrison, Olivier de Bie | slides, video |
Success Criteria for Implementing Data Science Platforms Across the Enterprise (Panel Discussion) | BOSCH IT, European Commission, KNIME | Yentran Trang, Ioannis Magnisalis, Phil Winters | video |
KNIME Time: Community and Partners | KNIME | Rosaria Silipo, Paul Treichler | slides, video |
KNIME Time: What's New and Cooking | KNIME | Bernd Wiswedel, Jim Falgout, Paolo Tamagnini, Tobias Schmidt | slides, video |
Fall Summit 2020, Online | |||
Closing the Gap in Data Science - The Complete Life Cycle | KNIME | Michael Berthold | slides, video |
Integrated Deployment | Kasasa | Zehra Hussein | slides, video |
Our Journey to ML with a Purpose | TODO1 Services | Edgar Osuna | slides, video |
The Future of Data Science: A Fireside Chat with Industry Dinosaurs | SmarterHQ, Elder Research, KNIME | Dean Abbott, John Elder, Michael Berthold | video |
Customer Data Scoring & Data Privacy Using KNIME WebPortal | Truata | James Grimes | slides, video |
Automated Risk Assessment - Using Smart Data to make BASF a Data Driven Company | BASF, Hupdata | Danilo Nato, Roberto Caffaor | video |
Real-Time Information on Product Quality | Dinant, IQuartil | Arturo Boquin, Ignacio Pérez | slides, video |
Making Data Science Accessible for Domain Experts and Creating Real Business Value | Wave Life Sciences | Kenneth Longo | slides, video |
Journey to Google Cloud Platform | Palo Alto Networks | Sai Chakravarthy Annam | video |
Stakeholder Collaboration | KNIME | Phil Winters, Paolo Tamagnini | slides, video |
KNIME Time: Recent Developments, Sneak Previews, and Community Highlights | KNIME | The KNIME Team | video |
Spring Summit 2020, Online | |||
Integrated Deployment - How to Move Data Science into Production | KNIME | Michael Berthold | video |
Create and Productionize Data Science Solutions | KNIME | Cynthia Padilla | video |
Community & Teaching, Partners: the KNIME Family | KNIME | Rosaria Silipo, Paul Treichler, Partners | video |
What's New and Cooking in KNIME Analytics Platform | KNIME | Bernd Wiswedel | video |
What’s New and Cooking in KNIME Server | KNIME | Jim Falgout | video |
Focus on the Task: Enabling our Models to Speak the Language of Business | SmarterHQ | Dean Abbott | video |
Bringing Data Manipulation from KNIME into TIBCO Spotfire | Discngine | Maxime Guitet, Lionel Colliandre | slides, video |
Use of KNIME to Automate Data Transfer from Sharepoint to PerkinElmer Inventory | Chiesi Farmaceutici | Fabio Rancati | slides, video |
Automatically Detecting Data Science Pitfalls in KNIME using KNIME | Queen's University, Canada | Gopi Krishnan Rajbahadur | slides, video |
Conformal Prediction: Enhanced Method for Understanding the Prediction Quality | Redfield | Artem Ryasik | slides, video |
Fall Summit 2019, Austin TX | |||
Opening Comments | Michael Berthold | ||
Education and Evangelism | Rosaria Silipo | ||
Partners at KNIME | Paul Treichler | ||
Online Community News | Christian Dietz | ||
What's New and Cooking in KNIME Server | Jim Falgout | ||
What's New and Cooking in KNIME Analytics Platform | Bernd Wiswedel | ||
Visualizing with Guided Analytics: For End Users AND Experts | Phil Winters & Team | ||
What's New and Cooking in KNIME WebPortal | Jeany Prinz & PaoloTamagnini | ||
Building a Clinically Significant Rare Disease Data Master: Approach and Workflows | Sebastian Lefebvre | ||
Using KNIME to Build a Data-Driven Culture (and Workflows!) in a Biopharma Setting | Kenneth Longo | ||
Virtual Anticipation Network: Applying Tensor Completion to the Study of Inter-State Competition and Irregular Conflict | Curtis Fox & Brian Frutchey | ||
Financial Applications of Self-Service ETL and Geospatial Analysis | Paras Gupta | ||
Focus on the Task: Enabling your Models to Speak the Language of the Business | Dean Abbott | ||
Spring Summit 2019, Berlin | |||
Opening Comments | Michael Berthold | ||
Evangelism, Education, and Community News | The KNIME Team | ||
Predictive Maintenance of the District Heating System of Vienna | Ines Lindmeier | ||
A Journey from Community Building to Quick Wins | Katja Meinunger, Matthias Stephan, Tobias Hornig, Philipp Kowalski | ||
Scaling Feature Generation from Prototyping to Production at REWE | Benjamin Greve | ||
Industrialization of Rice Grain Recognition | Dominique Genoud | ||
Evolving Quality Perspective with Advanced Analytics | Engin Hiz | ||
Embedding KNIME in High Volume Semiconductor Manufacturing | Brendan Doherty, Scott Morrison | ||
Productionizing Model Validation and Deployment | Greg Landrum | ||
What's New for Deployment | Greg Landrum (for the KNIME team) | ||
Using Predictive Modelling to Help People with Disability | Andrew Dun, Heshan Henry | ||
A Business User‘s Logistics Case: From Analytics to Colorful Excel Reports | Arne Beckhaus | ||
Guided Automation | Christian Dietz and Team | ||
Visualizing with Guided Analytics: For End Users AND Experts | Phil Winters and Team | ||
What's New in KNIME Analytics Platform | Bernd Wiswedel and Team | ||
The KNIME Image Processing Extension for Biomedical Image Analysis | Vanderbilt University Medical Center, University of Wisconsin-Madison | Andries Zijlstra, Kevin Eliceiri | |
Spectral Data Analysis for Hair Quality Prediction: The Smart Salon Concept | Lucile Bonnin | - | |
KIMBLE: A Comprehensive KNIME Workflow for Clinical NMR Metabolomics | Aswin Verhoeven | ||
Enabling Efficient Food Safety Knowledge Exchange with FSK-Lab | Matthias Filter | ||
ProteinsPlus via KNIME: Supporting Structure-Based Design Studies | Eva Nittinger | - | |
So far and yet so close: Grey Market Analytics within a Global Business Setting | Johanna Lutz, Alec Sproten | - | |
Asset Health Tracking in Manufacturing: An IIoT Fitness Tracker for Production | Martin Plank | - | |
Market Simulation with KNIME: An Economic History of Beer | Ted Hartnell | - | |
Data Analysis Modernization | Diego Facchini, Marco Ragogna | ||
Ads and Advertising Automation | Samuel James | ||
Automated Extraction of Balance Sheet Information: A Machine Learning Approach | Kilian Retter, Christine Diegel | ||
What's New in KNIME Server | Jim Falgout | ||
Optimized Predictive Planning with KNIME | Michael Schaarschmidt, Christian Gräber | ||
From Promotional Profitability to Predictive Marketing | Marc Tissington, Leander Quiring | - | |
Classification of Customer Feedback | Katharina Pape | ||
Scaling and Performance Tuning KNIME: A Guide | Phil Winters, Iris Adä | ||
Introduction to KNIME Poster Session | Phil Winters | ||
Keynote Presentation - One Size Doesn’t Fit All: Why We Should Tailor Data Preparation to the Algorithm | Dean Abbott | ||
Fall Summit 2018, Austin TX | |||
Welcome and Opening | Michael Berthold | ||
What's New | Bernd Wiswedel | ||
What's Cooking | Bernd Wiswedel | ||
Finding Themes in Text Data to Help Transform Member Experience | Melvi M. Methippara | - | |
Using Analytics to Improve Consumer Choice in the US & the UK | Michelle Leonard and Doris Sullivan | ||
Advanced Job Analytics @ Daimler | Julian Leweling | ||
Data Science at Palo Alto Networks: How Do We Innovate? | Nandan Thor and Sirish Upadhyay | - | |
Data Science at Palo Alto Networks: How Do We Productionize? | Juho Parviainen and Nilesh Dhomse | - | |
Doing the Data Science Dance: The Interplay Between Algorithms, Data Preparation, Sampling, and Interpretation | Dean Abbott | ||
On Monsters and Tags... | Jeany Prinz and Greg Landrum | ||
Deploying KNIME in an Amazon Cloud Environment for High-Throughput Image Analysis | Andries Zijlstra | ||
A Data Pipeline Approach to Orphan Disease Insights | Sebastian Lefebvre | ||
Guided Analytics at Seagate | Allan Luk and Eric Lin | ||
Data Analytics in Data Storage Device Development & Testing | Debin Wang | ||
Using KNIME for Optimizing Die Utilization | Zachary Eich | ||
Guided Analytics for ML/AI Automation | Christian Dietz and Simon Schmid | ||
Enterprise Scale Data Blending | Shalini Subramanian | ||
REST API: Workflow Integration with Python | Owen Watson | ||
Custom Language Translation using KNIME & Keras | Mohammed Ayub and Joseph Gochal | ||
Creating an Equipment Anomaly Detection Framework | Ziad Katrib | ||
Turning AI Hype into Something Practical: Demystifying Bots | Phil Winters and Vincenzo Tursi | ||
Spring Summit 2018, Berlin |
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Opening Remarks | Michael Berthold | ||
What's New | Bernd Wiswedel | ||
What's Cooking | Bernd Wiswedel | ||
KNIME in Action: The Monster Model Factory | Greg Landrum | ||
KNIME & Teacher Bots: From Workflows to Micro Services | Kathrin Melcher, Vincenzo Tursi, Rosaria Silipo, Phil Winters | ||
Guided Analytics in Action: KNIME Does Biology | Jeany Prinz | ||
Exploring the Factory: Into the Guts of the Monster | Greg Landrum, Daria Goldmann, Anna Martin | ||
KNIME in Action: GDPR, Taking a Proactive Approach | Phil Winters | ||
Blending Enterprise-BI, Data Science, and modern IT-Architecture - Lessons Learned | Matthias Nolte | ||
H2O in KNIME: Integrating High Performance Machine Learning | Jo-Fai Chow and Christian Dietz | ||
Predicting Probability of Debt Recovery | Elif Yigit Aycan and Mesrur Börü | ||
Predictive Analytics of Hair Colorations | Georg Knübel and Iris Adä | - | |
KNIME for 'Deterministic Analytics' by Business Users | Arne Beckhaus | ||
Smart Industry 4.0 - Industrial Automation Goes Machine Learning Automation | Thomas Zipf, Michael Wojtas, Stefan Weingaertner | ||
Advanced Job Analytics @ Daimler | Julian Leweling and Christoph Becker | - | |
Smart Data Collaboration Hub | Rainer Dürr and Gerrit Bungeroth | ||
Deep Learning: From Mastering the Game of GO to Revolutionizing Microscopy | Florian Jug | ||
Integrated CADD Methods: A Cocktail of KNIME, Bash and Modeling Software | Loris Moretti | ||
Citizen Data Science Initiative at Seagate | Allan Luk and Eric Lin | ||
The Biggest 'Miss' In Predictive Modeling | Dean Abbott | - | |
3D-e-Chem: Structural Cheminformatics KNIME Workflows for Computer-aided Drug Discovery | Chris de Graaf | - | |
Using Analytics to Help Make Things Better for Consumers | Ian Ferrell and Christoph Hansmann | ||
Automating CRM, Marketing and Analytics with KNIME | Edvinas Subacius | ||
Recipe Conversion Stories from a Domesticated Chemist | - | Elizabeth Wright | - |
Fall Summit 2017, Austin | |||
Opening | Michael Berthold | ||
What’s New | Bernd Wiswedel | ||
What's Cooking | Bernd Wiswedel | ||
What’s New in Big Data | Tobias Kötter | ||
Guided Analytics in Action: "Your flight is boarding now!" | Rosaria Silipo and Vincenzo Tursi | ||
Automated data analysis for HV batteries with KNIME | Maximilian Mücke and Patryk Koryzna | ||
Insights from 20+ years of driving Insights into Business Action | Joe Porter | ||
The Matched Molecular Pairs Application, or KNIME to UNIX and Back Again | Man-Ling Lee | ||
Integrating high performance machine learning: H2O and KNIME | Mark Landry and Christian Dietz | ||
KNIME@ HiTIF: bioimaging workflows for looking inside cells | Prabhakar R. Gudla | ||
Leveraging KNIME for Fire Analysis and Public Safety | Mohammed Ayub | ||
Workflows for Petroleum Exploration and Production | David Wong | ||
Enhancing Internal Audit and Risk effectiveness – a home loan analysis case study | Yusuf Moolla | ||
Spring Summit 2017, Berlin | |||
Welcome and Introduction | Michael Berthold | ||
What's New | Bernd Wiswedel | ||
What's Cooking in KNIME Labs | Bernd Wiswedel | ||
A Peek into KNIME Big Data Labs | Tobias Kötter | ||
Tech Briefing: Distributed Workflow Executors | Thorsten Meinl | ||
The KNIME Model Factory or "Getting your life back" | Iris Adä and Phil Winters | ||
Guided Analytics in Action: Patent Analysis from your Browser | Greg Landrum | ||
Tech Briefing: Customized Distance Functions in KNIME | Bernd Wiswedel | ||
Tech Briefing: Instrumenting KNIME with KNIME | Iris Adä | ||
Orchestrating a proprietary endurance qualification system for HV batteries with KNIME | Maximilian Mücke and Jürgen Walter | ||
Smart Data at BW Bank – Big Data Analytics with Cassandra, Spark and KNIME | Gerrit Bungeroth and Stefan Weingaertner | ||
Fault Prediction and Failure Detection of drives using real-time signal processing and machine learning techniques | Jürgen Walter and Stefan Weingaertner | ||
Deploying KNIME to the Enterprise: Reshaping Data & Architecture for Healthcare | James Lumley | ||
Tech Briefing: Connecting to SAP HANA | Norbert Havas and Kilian Thiel | ||
Image segmentation, single molecule tracking, and data analysis with KNIME and KNIP | Jan Eglinger | ||
de.NBI - Bioinformatics Integrations for KNIME | Knut Reinert | ||
Venice Airport: a small big data story | Fabrizio Montino and Dario Cannone | ||
Predictive Next Best Action for Marketing Demand Generation and Sales | Erik Bower and Josip Lazarevski | ||
User experience with KNIME for large industrial data sets and applications | Bernhard Lang | ||
Practical applications of Matched Molecular Pairs (MMPs) at Vernalis | Steve Roughley and Richard Sherhod | ||
Fall Summit 2016 | |||
Welcome and Introduction | Michael Berthold | ||
What’s New in KNIME | Bernd Wiswedel | ||
What’s Cooking in the KNIME and Big Data Labs | Bernd Wiswedel and Tobias Kötter | ||
Data Science for Everybody | Rosaria Silipo and Greg Landrum | ||
Measuring Variable Importance with Target Shuffling | Dean Abbott | ||
When the Old meets the New: How Advanced Data Analytics is Transforming Manufacturing | Rumi Ghosh | ||
From Corkscrew to Swiss Army Knife: The evolving role of KNIME at DNS | Brock Luty and Tim Parrott | ||
Predictive Modeling of On-And-Off Target Bioactivities - a Data Vendor Perspective | Tim Hoctor | ||
Extracting Truths from Social Media | Benjamin Spiegel | ||
KNIME as a Platform for Integrated Hit Finding at Novartis | Patrick Lee | ||
Weaponizing Sales and Marketing with Predictive Real-Time Lead Ranking | Jere Helenius | ||
Open Source Tool Blending: Image Analysis in KNIME | Curtis Rueden and Christian Dietz | ||
What’s Love Got To Do With It? Analyzing Tweets about Online Dating | - | Cathy Pearl | |
Using KNIME agile prototyping to establish PoV to project sponsors | - | Sameer Bhatnagar | |
Spring Summit 2016 | |||
Welcome and Introduction | KNIME | Michael Berthold | slides, video |
What's New in KNIME | KNIME | Bernd Wiswedel | slides, video |
What's Cooking in the KNIME Labs | KNIME | Bernd Wiswedel | slides, video |
What's New and Cooking in the KNIME Big Data Labs | KNIME | Tobias Kötter and Björn Lohrmann | slides, video |
Guided Analytics in Action | KNIME | Rosaria Silipo and Phil Winters | slides |
Measuring Variable Importance with Target Shuffling | Abbott Analytics | Dean Abbott | slides |
KNIME and Machine Learning at Amazon | Amazon | Ralf Herbrich | slides |
KNIME in Production - Development and deployment of reusable models for the Industrial Internet | Bosch Software Innovations | Björn Arnold | slides |
Preparing publishers for editorial board meetings – Automated delivery of reporting with use of R and the KNIME Server | Elsevier | Albert van Duijn | slides |
Just in KNIME: Successful Process Driven Drug Discovery | Evotec | Mike Mazanetz | slides |
Leveraging Open Chemogenomics Data and Tools with KNIME | European Bioinformatics Institute, EMBL-EBI | George Papadatos | slides |
KNIME and the Web – Extract, Test, Automate | LINEUPR | Philipp Katz | slides |
Transforming Consumer Data into Actionable Insights | MMI Agency | Benjamin Spiegel | slides |
Dockerizing KNIME – Recipes for a KNIME Cocktail | Pfizer-University of Granada-Junta | Brian Muchmore | slides |
Big Data at Siemens – A KNIME Story | Siemens / KNIME | Jan Pospisil and Tobias Kötter | slides & slides |
Newsletter optimization to harness hidden potential in data | Walbusch | Philipp Seifert | slides |
User Group Meeting 2015 | |||
Welcome & Introduction | Michael Berthold | ||
What's New in KNIME | Bernd Wiswedel | ||
What's Cooking in KNIME | Thomas Gabriel | ||
Anomaly Detection | Rosaria Silipo and Phil Winters | ||
Smarter Predictions | Dean Abbott | ||
KNIME for the Masses: Flexible and Scalable Deployment of KNIME-Workflows | Nils Weskamp | ||
Successful Cross Selling ‒ Automated Data Mining Processes that Deliver Target Group-specific Online Offers | Jörg Neumann | ||
Migrating a cheminformatics and reporting platform to KNIME | Serge Parel | ||
The SiLeBAT NewsRadar - KNIME Server in Action | Matthias Filter and Kilian Thiel | ||
The Use of KNIME to Support Research Activity at Lhasa Limited: Data Processing through to Proof-of-concept Implementations | Sam Webb | ||
COSMOS or How a Flower Links Up Cosmetics & KNIME | Mark Cronin and Andrea Richarz | ||
KNIME Server usage and global deployment at NIBR, | Greg Landrum | ||
Bet Responsibly. On Your CRM Too | Walter Bonifazi | ||
Crime Investigation with KNIME - Cardsharing at Pay TV | Andreas Stahlhut and Markus Grüneberg | ||
What's Love Got To Do With It? Analyzing Tweets About Online Dating | - | Cathy Pearl | |
User Group Meeting 2014 |
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Welcome and Introduction | Michael Berthold | ||
What's new in KNIME Desktop and Server | Bernd Wiswedel | ||
What's cooking in KNIME development labs | Thomas Gabriel | ||
Making Drupal Recommend with KNIME | Heiko Hofer | ||
KNIME and the Internet of Things | Phil Winters | ||
Taming Big Data with KNIME and Hadoop | Florin Veringa and Radu Pastia | ||
Automated light microscopy-based imaging and data analysis using KNIME Image Processing | Jürgen Reymann | ||
IT-Capacity Analysis and Forecasting with KNIME and R | Markus Schmid | ||
DYMATRIX Customer Intelligence Extensions | Stefan Weingärtner | ||
Experiences of a risk assessment authority with KNIME-based applications | Matthias Filter | ||
Here, There, and Everywhere - On Integration of KNIME Workflows | Man-Ling Lee | ||
Predicting Patent Impact with KNIME | Swiss Federal Institute of Intellectual Property | Mark James Thompson | |
Power to the People with KNIME | Mike Seery and Stefan Weingärtner | ||
Zementis Universal Deployment of KNIME Models with PMML for Big Data and Real-time Scoring | Michael Zeller |