KNIME Summit and Data Talks Presentation Collection
|
Talk Title |
Company |
Speaker(s) |
Slides / Video |
|---|---|---|---|
|
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 |
| 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 | ||
|
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 | ||
|
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 | |||
|
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 | ||
|
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 | ||
|
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 | |||
|
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 | ||
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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 | ||