• KNIME Meetup with GEMMACON, Munich

    WERK1 München

    Join us on September 11, 2019 for this unique meetup in the innovative atmosphere of WERK1 Munich – one of Europe's liveliest startup hubs. The evening starts with a pre-meetup, hands-on workshop from 5-6:45 PM. This is perfect if you’re new to KNIME Analytics Platform. After a short introduction to the tool, you’ll build your first workflow, which reads and pre-processes some customer data before training a machine learning model. At the end of the workshop, we’ll show you different options to deploy the trained machine learning model using KNIME Server. After the workshop, we invite you to refuel on some snacks and drinks before the talks start at 7:15 PM. Please note you are very welcome to join the meetup at any time during the evening. Automated Retrieval of Market & Competitive Information using KNIME is the first presentation, by Dr. Matthias Stephan, who leads the Robotics Automation Team at DataVisions, Siemens Digital Industries. Based on a concrete competitive analysis example he will demonstrate how KNIME Analytics Platform can be used to automatically extract strategic competitive information from financial reports. Looking further ahead, he will introduce a number of text mining methods for analyzing web archives (such as a common crawl) to reveal company-relevant market trends. The second talk ‘Anomaly Detection for IoT Predictive Maintenance and Credit Card Fraud’ is by Kathrin Melcher (KNIME). An anomaly is a generic concept: it refers to any irregular or unexpected event, be it a mechanical tool failure, an arrhythmic heartbeat - or a fraudulent transaction. Therefore, the same techniques to predict anomalies in IoT data can also be used to detect credit card fraud and vice versa. In this talk Kathrin shows three different approaches to discover the "unknowns": classical machine learning and deep learning neural auto-encoder for credit card fraud detection and a rule based technique for anomaly detection in IoT based time series data. The meetup closes after a lively networking session. Note: Please bring your own laptop with KNIME Analytics Platform pre-installed for the pre-meetup hands-on workshop. To install KNIME Analytics Platform, download the installation files from https://www.knime.com/downloads You might find these videos helpful during installation. https://www.knime.com/knime-introductory-course/chapter1/section1/installation-guide Agenda 5:00 PM – Registration 5:15 PM – Pre-meetup, hands-on KNIME Workshop by Kathrin Melcher (KNIME) 6:45 PM – Break: snacks and beverages 7:15 PM – Welcome by trusted KNIME Partner GEMMACON and KNIME 7:30 PM – Automated Retrieval of Market & Competitive Information using KNIME by Matthias Stephan (Siemens) 8:00 PM – Using KNIME Analytics Platform to automate data pipelines for formatted working documents by Simon Kraus (Gemmacon) 8:20 PM – Anomaly Detection for IoT Predictive Maintenance and Credit Card Frauds by Kathrin Melcher (KNIME) 8:40 PM – Networking See you there!

  • Meetup: Machine Learning in der Praxis

    IHK Stuttgart

    Am Mittwoch, den[masked] ab 18.00 Uhr ist es soweit, die IHK Region Stuttgart lädt gemeinsam mit KNIME und DATATRONiQ zum KNIME Meetup nach Stuttgart ein. Die Veranstaltung findet im Rahmen der Themenwoche zur digitalen Zukunft und Innovation im Mittelstand „100 Stunden Morgen“ im Gebäude der Industrie- und Handelskammer Region Stuttgart in der Jägerstraße 30 statt. In den ersten beiden Vorträgen geben Benjamin Hemminger und Christian Dietz einen Einblick in die neuesten Entwicklungen und Funktionalitäten der KNIME Software Lösungen. Im anschließende Vortrag zum LBBW Smart Data Collaboration Hub stellt Kilian Retter den technologischen Unterbau als auch die Machine Learning Services vor, die aktuell und zukünftig von der Smart Data Plattform unterstützt werden. Der abschließende Vortrag adressiert inhaltlich den Themenschwerpunkt Industrie 4.0 und veranschaulicht anhand von ausgewählten Anwendungsfällen, wie einfach mit DATATRONiQ und KNIME Maschinen-, Sensor- oder Prozessdaten erfasst und analysiert werden können. Im Anschluss an das offizielle Programm besteht die Möglichkeit den Abend beim Networken ausklingen zu lassen. Agenda 17:30 – Einlass, Registration 18:00 – Welcome and Introductions – Stefan Weingaertner (DATATRONiQ) 18:15 – Who and what is KNIME? – Benjamin Hemminger (KNIME) 18:30 – What´s new in KNIME? How about "Deep Learning", "AutoML" and "H2O"? – Christian Dietz (KNIME) 19:00 – Smart Data Collaboration Hub – Kilian Retter (Landesbank Baden-Württemberg) 19:30 – Machine Learning for Industrial Automation: Use Cases from the Shopfloor – Stefan Weingaertner (DATATRONiQ) 20.00 – Networking Zur Anmeldung für dieses konstenfreie Event über die IHK Seite geht es hier: https://www.stuttgart.ihk24.de/System/vst/700122?id=303310&terminId=481753 Weitere Events bei der IHK Themenwoche: Michael Berthold hält am Montag, den 24.09. um 16 Uhr einen Vortrag zum Thema "From Data & Analytics to People". Am Mittwoch, den 26.09. findet ein Learnathon statt, der eine Einführung in die KNIME Analytics Platform gibt und in praxisnahen Beispielen folgende Themen adressiert: Data Exploration, Feature Engineering, Machine Learning und Model Development. Mehr Informationen und die Anmeldung befinden sich hier: https://www.stuttgart.ihk24.de/Fuer-Unternehmen/innovation/digitale-wirtschaft/hundert-stunden-morgen-channel/-themenwoche-100-stunden-morgen-wochenprogramm/3962758

    3
  • KNIME User Meetup on Big Data and Machine Learning

    Kelter Uhlbach

    Come to Stuttgart for an evening on Big Data and Machine Learning! Machine Learning & Artificial Intelligence has a wide variety of exciting applications. Come explore these applications and collectively improve and grow with KNIME and like-minded people. Join us for this unique meetup in the picturesque atmosphere of one of the most beautiful wine cellars in Stuttgart. Thomas Gabriel will provide a KNIME Software Update - including a glimpse at what is new in the most recent 3.5.2 release of KNIME Analytics Platform and KNIME Server. The next talk, "Smart Data Collaboration Hub“, by Kilian Retter of Landesbank Baden-Württemberg, presents the scalable Big Data Infrastructure of LBBW, which is fully built upon open source technologies – Cassandra, Spark, and KNIME. The talk also dives into different machine learning use cases that have been deployed on the Smart Data Collaboration Hub. Taming and analyzing always-on data streams within an Industry 4.0 smart factory setup will play a crucial role in boosting overall equipment effectiveness. “Smart Industry 4.0” by Michael Wojtas of Leadec Industrial Services will give an overview how Leadec addresses Predictive Maintenance in modern production environments. The final talk on "Anomaly Detection in Time Series“, by Stefan Weingaertner of DATATRONiQ, displays the variety of anomaly detection challenges, depending on the structure and characteristic of the underlying data or sensor source – ranging from low-frequency to high-frequency signals. The meetup closes with a networking session and a tasting of local wines of Collegium Wirtemberg. Agenda: • 17.30: Registration • 18.00: Welcome and Introductions (Stefan Weingaertner, DATATRONiQ) • 18.05: What’s new in KNIME Analytics Platform 3.5 and KNIME Server (Thomas Gabriel, KNIME) • 18.30: Smart Data Collaboration Hub (Kilian Retter, Landesbank Baden-Württemberg) • 19.10: Smart Industry 4.0 – Predictive Maintenance (Michael Wojtas, Leadec Industrial Services) • 19.50: Anomaly Detection in Time Series (Stefan Weingaertner, DATATRONiQ GmbH) • 20.20: Networking & tasting of regional wines All talks will be in German – the slides are in English!

    7
  • KNIME Users Meetup on Industry 4.0, Big Data & Augmented Intelligence

    Come to Stuttgart for an evening of Industry 4.0, Big Data Analytics and Augmented Intelligence - September 25, 2017. Industry 4.0 addresses highly intelligent connected systems that create a fully digital value chain, enabled by the Industrial Internet of Things. Data acquisition, data blending and advanced analytics of its always-on data streams will play a crucial role in boosting targeted improvements and systemic adjustments to production processes, product designs and other continuous improvement efforts. But beyond data analytics the created insights need to be transformed into actions – on the shop floor. That’s where augmented reality comes into play. With augmented reality applications manufacturing operations employees can directly show all of the problems to maintenance teams and quality engineers. They can view KPIs in real-time, receive anomaly alerts as well as diagnose and resolve the issue without interfering with production. Thomas Gabriel of KNIME will provide a KNIME Software Update - including a glimpse at what is new in the most recent release of KNIME Analytics Platform. The next talk, "Orchestrating a proprietary endurance qualification system for HV batteries“, by Maximilian Mücke of ACCUmotive, presents how KNIME accelerates the analysis of big data streams generated during battery endurance tests. “Big Data Analytics in Industrial Data Spaces” by Stefan Weingaertner, DATATRONIQ, demonstrates how machine learning can increase industrial productivity and how it can drive Industry 4.0 initiatives. The talk also addresses where machine learning stands in most of the shop floors today and where it can take us, all from a manufacturing perspective (with examples of applications in KNIME and DATATRONIQ). Thomas Zipf of ContiTech MGW describes the impact of Big Data Analytics on modern shop floors with his talk "Big data prediction and scoring methods in classical quality environments". The final talk on "Augmented Intelligence with DATATRONIQ, KNIME & Microsoft HoloLens“, by Jürgen Walter of DATATRONIQ, presents a future approach, how insights created by analytics applications, can be blended and displayed at the point of execution for condition monitoring and quality insurance applications. The meetup closes with a panel discussion about the role of augmented intelligence in future data-driven shop floors and its relevance for Industry 4.0 initiatives. • 17.30 Registration • 18.00 Welcome and Introductions – Stefan Weingaertner (DATATRONIQ) • 18.05 KNIME Open Source Story and what’s new in KNIME Analytics Platform – Thomas Gabriel (KNIME) • 18.30 Orchestrating a proprietary endurance qualification system for HV batteries with KNIME, Maximilian Mücke (ACCUmotive) • 19.00 Big Data Analytics in Industrial Data Spaces with DATATRONIQ & KNIME – Stefan Weingaertner (DATATRONIQ). • 19:20 Utilization of Big Data Prediction & Scoring Methods in Classical Quality Environments - Thomas Zipf (ContiTech MGW) • 19.50 Augmented Intelligence with DATATRONIQ, KNIME & Microsoft HoloLens and how they blend on the shop floor – Jürgen Walter (DATATRONIQ) • 20.10 Panel Discussion: Augmented Intelligence – the future of the data-driven shop floor? – Christoph Hartmann (flexis AG) & KNIME Meetup Speaker • 20.30 Networking & tasting of regional wines.

    6
  • KNIME User Meetup on Industry 4.0, Industrial Data Spaces, and IIoT Analytics

    Come to Stuttgart for an evening of Industry 4.0, Industrial Data Spaces and IIoT Analytics - April 3, 2017. The core of Industry 4.0 is based on highly intelligent connected systems that create a fully digital value chain, enabled by the Industrial Internet of Things. IIoT will transform companies, opening up a new era of economic growth and competitiveness. Analytics of its always-on data streams will play a crucial role in boosting targeted improvements and systemic adjustments to production processes, product designs and other continuous improvement efforts. The »Industrial Data Space« is an Industry 4.0 initiative that uses standards and common governance models to facilitate the secure exchange and easy linkage of industrial data in business ecosystems. It thereby provides a basis for creating and using smart services and innovative business processes, while at the same time ensuring digital sovereignty of data owners. Thomas Gabriel will provide a KNIME Software Update - including a glimpse at what is new in the most recent release of KNIME Analytics Platform. The next talk, "Fault Prediction and Failure Detection of drives using real-time signal processing and machine learning techniques“, by Jürgen Walter and Stefan Weingaertner of DATATRONIQ, presents brand new KNIME nodes for Digital Signal Processing and their application within an IIoT Analytics use case. The final talk on "Industrial Data Space: A New Idea for Sharing Data“, by Lars Nagel of the Industrial Data Space Association, outlines the motivation of the Industrial Data Space and its relevance for Industry 4.0 initiatives concerning governance and digital sovereignity of industry data within organizations and across supply chains. The meetup closes with a panel discussion about data-driven Industry 4.0 best practices and challenges. • 17.30 Registration • 18.00 Welcome and Introductions – Stefan Weingaertner, DATATRONIQ • 18.05 KNIME Open Source Story – Thomas Gabriel, KNIME • 18.20 What’s new in KNIME Analytics Platform – Thomas Gabriel, KNIME • 18.45 Failure Prediction of drives using real-time signal processing and machine learning techniques – Jürgen Walter & Stefan Weingaertner, DATATRONIQ • 19.30 Industrial Data Space: A New Idea for Sharing Data – Andreas Staffen, Deloitte Consulting GmbH • 20.15 – 21.00 Panel Discussion: Industry 4.0 and Smart Manufacturing - Challenges & benefits of the data-driven shop floor • 21.00: Networking & tasting of regional wines.

    3
  • KNIME Users Meetup on IoT Analytics in Action in Stuttgart

    The IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS), microservices, and the Internet. This convergence has helped tear down the silo walls between operational technology (OT) and information technology (IT), allowing unstructured machine-generated data to be analyzed for insights that will drive improvements. IIoT will transform companies, opening up a new era of economic growth and competitiveness. Analytics of its always-on data streams will play a crucial role in boosting targeted improvements and systemic adjustments to production processes, product designs and other continuous improvement efforts. Michael Berthold, founder and president of KNIME, will be starting the meetup with "Analytics for the Masses: Mission Impossible?" After Michael’s talk Thomas Gabriel will provide a KNIME Software Update - including a glimpse at what is new in the most recent 3.2 release of KNIME Analytics Platform. The next talk, "Applying DSP & Machine Learning algorithms on accelerometer & gyroscope sensors for human activity detection“, by Stefan Weingaertner of AdvancedAnalytics.Academy, presents brand new KNIME nodes for Digital Signal Processing and their application within an IoT Analytics use case. The final talk on "Sensor-based condition monitoring“, by Jürgen Walter of DATATRONIQ, outlines how Fablab.Berlin optimizes their equipment availability. He will demonstrate the challenges of equipment connectivity, machine data acquisition, realtime condition monitoring and how it has been implemented with DATATRONIQ’s IIoT analytics platform. He will be presenting a selected analytics use case and demonstrate why KNIME is an excellent tool to derive actionable insights from machine data AGENDA: · 19.00 Welcome and Introductions, Michael Berthold and Stefan Weingaertner · 19.05 Analytics for the Masses: Mission Impossible? Michael Berthold, KNIME · 19.20 What’s new in KNIME Analytics Platform 3.2, Thomas Gabriel, KNIME · 19.45 IoT Analytics with KNIME: Applying DSP & Machine Learning algorithms on accelerometer & gyroscope sensors for human activity detection, Stefan Weingaertner, AdvancedAnalytics.Academy · 20.15 Sensor-based condition monitoring: how Fablab.Berlin optimizes equipment availability and profitability, Jürgen Walter, DATATRONIQ · 20.45 Networking with wine and snacks

    9