KNIME is hosting a Big Data Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on June 15, 2018.

This one day Big Data Course for KNIME Analytics Platform focuses on processing and mining databases with Hadoop and Spark through KNIME. Learn how to interact with these tools based on an example: eliminating missing values by predicting their values based on other attributes.

Register Now

Course Content

Friday, June 15, 2018

• In-database processing with the KNIME database extension
• Pre-processing on Hadoop with Hive
• Data processing and machine learning with Spark

Course Fees

• Big Data Course for KNIME Analytics Platform (1 day): € 750

Other Courses

• IoT Analytics Course with KNIME (1 day): € 750, June 11, 2018
• Course for KNIME Analytics Platform (2 days): € 1'250, June 12-13, 2018
• Course for KNIME Server (1 day): € 250, June 14, 2018

The KNIME Team.

KNIME is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on June 14, 2018. We recommend to combine this course with the 2-dayCourse for KNIME Analytics Platform held June 12-13, 2018.

Course for KNIME Server dives into the details of KNIME Server and KNIME WebPortal and discusses them from three different points of view: the power user, the administrator, and the end user.
All tools and features designed for each one of these three personas are shown in detail and illustrated by means of interactive sessions and hands-on exercises.

Attendees learn how to exchange workflows and data between the server and the client, how to take advantage of the many server dedicated nodes and features when implementing a workflow, how to set access rights on workflows, data, and meta-nodes, share meta-nodes, execute workflows remotely and from the KNIME WebPortal, and how to schedule report and workflow executions, and more.

The course is designed not only for customers, partners, and the community, but also for anyone interested in finding out more about the KNIME commercial platform and its functionalities.

Register Now

Course Content

Thursday, June 14, 2018

• KNIME Product Overview
• Roles (Personas) involved in a Data Science Project
• Introduction to the Use Case (Customer Segmentation)
• KNIME Server Basic Features
• KNIME Server Advanced Features
• Summary and Q&A

Course Fees

• Course for KNIME Server (1 day): € 250 per user

Other Courses

• IoT Analytics Course with KNIME (1 day): € 750, June 11, 2018
• Course for KNIME Analytics Platform (2 days): € 1'250, June 12-13, 2018
• Big Data Course for KNIME Analytics Platform (1 day): € 750, June 15, 2018

The KNIME Team.

KNIME is hosting a Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 9-10, 2018.

Course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows.

Register Now

Course Content

Day one – Tuesday, October 9, 2018

Morning:

• Introduction to KNIME
• Reading Data
• Data Manipulation

Afternoon:

• Data Vizualization
• Data Mining
• Exporting & Deployment

Evening:

• Group Dinner

Day two – Wednesday, October 10, 2018

Morning:

• Date and Time
• Flow Variables
• Workflow Control
• External Tools

Afternoon:

• Advanced Data Mining
• Model Selection
• Advanced Applications and/or BYOD (Bring Your Own Data)

Course Fees

• Course for KNIME Analytics Platform (2 days): € 1'250

Other Courses

• IoT Analytics Course with KNIME (1 day): € 750, October 8, 2018
• Course for KNIME Server (1 day): € 250, October 11, 2018
• Big Data Course for KNIME Analytics Platform (1 day): € 750, October 12, 2018

The KNIME Team.

KNIME is hosting a one day IoT Analytics Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 8, 2018.

Sensors, machine-to-machine, and network data will play a leading role in analytics as the Internet of Things becomes a reality. In this course you are introduced to the most important methodologies, algorithms and ideas in IoT Analytics. You will learn to access sensor-based data sources, understand the fundamentals of digital signal processing, realize the importance of smart feature engineering, and use advanced methodologies to uncover underlying patterns or concepts contained in IoT data streams. All exercises are based on real-world IoT datasets.

Who should attend: Data scientists, signal processing engineers, statisticians, mathematicians, computer scientist and information technology professionals who need to get started with IoT Analytics and want to make better use of their data.

Register Now

Course Content

Monday, October 8, 2018

• IoT Fundamentals
• Sensor Data Acquisition
• Introduction to Digital Signal Processing
• Feature Engineering
• Machine Learning Fundamentals
• Model Training, Assessment, and Comparison
• Model Deployment
• IoT Analytics – Applications and Use Cases

Course Fee

• IoT Analytics Course for KNIME Analytics Platform (1 day): € 750

Other Courses

• Course for KNIME Analytics Platform (2 days): € 1'250, October 9-10, 2018
• Course for KNIME Server (1 day): € 250, October 11, 2018
• Big Data Course for KNIME Analytics Platform (1 day): € 750, October 12, 2018

The KNIME Team.

KNIME is hosting a Big Data Course for KNIME Analytics Platform at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 12, 2018.

This one day Big Data Course for KNIME Analytics Platform focuses on processing and mining databases with Hadoop and Spark through KNIME. Learn how to interact with these tools based on an example: eliminating missing values by predicting their values based on other attributes.

Register Now

Course Content

Friday, October 12, 2018

• In-database processing with the KNIME database extension
• Pre-processing on Hadoop with Hive
• Data processing and machine learning with Spark

Course Fees

• Big Data Course for KNIME Analytics Platform (1 day): € 750

Other Courses

• IoT Analytics Course with KNIME (1 day): € 750, October 8, 2018
• Course for KNIME Analytics Platform (2 days): € 1'250, October 9-10, 2018
• Course for KNIME Server (1 day): € 250, October 11, 2018

The KNIME Team.

KNIME is hosting a Course for KNIME Server at the AdvancedAnalytics.Academy offices in Stuttgart, Germany on October 11, 2018. We recommend to combine this course with the 2-dayCourse for KNIME Analytics Platform held October 9-10, 2018.

Course for KNIME Server dives into the details of KNIME Server and KNIME WebPortal and discusses them from three different points of view: the power user, the administrator, and the end user.
All tools and features designed for each one of these three personas are shown in detail and illustrated by means of interactive sessions and hands-on exercises.

Attendees learn how to exchange workflows and data between the server and the client, how to take advantage of the many server dedicated nodes and features when implementing a workflow, how to set access rights on workflows, data, and meta-nodes, share meta-nodes, execute workflows remotely and from the KNIME WebPortal, and how to schedule report and workflow executions, and more.

The course is designed not only for customers, partners, and the community, but also for anyone interested in finding out more about the KNIME commercial platform and its functionalities.

Register Now

Course Content

Thursday, October 11, 2018

• KNIME Product Overview
• Roles (Personas) involved in a Data Science Project
• Introduction to the Use Case (Customer Segmentation)
• KNIME Server Basic Features
• KNIME Server Advanced Features
• Summary and Q&A

Course Fees

• Course for KNIME Server (1 day): € 250 per user

Other Courses

• IoT Analytics Course with KNIME (1 day): € 750, October 8, 2018
• Course for KNIME Analytics Platform (2 days): € 1'250, October 9-10, 2018
• Big Data Course for KNIME Analytics Platform (1 day): € 750, October 12, 2018

The KNIME Team.

Zurich, February 26, 2018 – For the fifth year in a row, KNIME^® , the open source platform for data driven innovation, has been placed in the leader category in Gartner’s 2018 Magic Quadrant for Data Science and Machine Learning Platforms. The placement recognizes ability to execute and completeness of vision.

Gartner, Inc. describes leaders as having “a strong presence and significant mind share in the market. Resources skilled in their tools are readily available. Leaders demonstrate strength in depth and breadth across a full model development and implementation process. Leaders are in the strongest position to influence the market's growth and direction. This gives them the advantage of a clear understanding and strategy for the data science market, with which they can become disrupters themselves and develop thought leading and differentiating ideas.”

“To be recognized again as a leader, while also being significantly moved forward in vision and ability to execute, is humbling,” says Michael Berthold, CEO, KNIME AG. “We have a great community of users and enthusiasts who continually contribute to KNIME, and we are grateful for that. They are helping us build this open source platform that strives to be at the forefront of innovation.”

KNIME owes these accolades to its users from thousands of organizations (including many big players) across various industries, all enjoying the open source, free platform. “While other platforms are commercializing functionality, KNIME is continuing to cause a stir in the market by adding more functionality to the open source platform. The concept of adding the commercial KNIME Server for collaboration, automation, and deployment, without ever limiting open source usage is just brilliant,” comments Stefan Weingaertner, AI Associates. “It’s no wonder KNIME is in the leader category again this year.”

“We’re continuing to invest heavily in the development of our software to ensure our users have everything they need to get their job done, fast. We’re also ensuring there are simple and relevant ways to enable these users to share what they do with other members of their organization,” continues Berthold. “Our commitment to open source is solid and we’ve put everything on GitHub to back that up. This honest, transparent business model works for everyone and we plan on keeping it that way.”

For further information, contact KNIME at info@knime.com, or download KNIME and discover it for yourself. KNIME – Open for Innovation^®.

From March 5 - 9, 2018 we held our 11th Annual KNIME Spring Summit in Berlin, Germany where KNIME users and enthusiasts got together for a week of courses, presentations, and workshops, as well as the chance to network.

We welcomed over 300 people through the doors this year. Alongside the regular Summit attendees, it was wonderful to see so many new faces. A big thank you to everyone for being there!

The Summit was opened by Michael Berthold who reflected on what has been a significant year of growth for KNIME. He introduced the 21 new KNIMErs who have been hired in the last year, as well as Tom Erickson - newest member of the KNIME Board. Michael also took the opportunity to thank the KNIME community for their contributions which helped us earn our position as a leader in Gartner’s Magic Quadrant for Data Science and Machine-Learning Platforms for the fifth year in a row. Lastly, he discussed new and growing trends in Automated ML/AI and put them into context with KNIME’s Guided Analytics vision. You can watch his opening here.

Wednesday and Thursday were full of diverse and engaging presentations from data scientists, business analysts, and independent users across different industries - debt recovery, deterministic analytics, industrial automation, drug discovery, CRM, and more - all highlighting how they are using KNIME software. We also looked into what is new and what is cooking in the KNIME development lab. Thank you once again to our speakers for all these great presentations! You can check out their slides here. The Summit dinner on Wednesday evening was held at Spindler & Klatt, which provided a relaxed atmosphere and the chance to network with other Summit attendees. On Thursday evening, we held a more casual beer tasting event in the hotel foyer.

On the last day of the Summit, we hosted a range of workshops on topics such as Guided Analytics, Big Data, Deep Learning, KNIME Server, Image Processing, and others. We also had some external workshops such as Random Forest and Gradient Boosted Trees, de.NBI/CIBI, and 3D-e-Chem. There was something for everyone!

Just like last year, we extended the Summit by offering courses on the Monday and Tuesday. There were courses in KNIME Analytics Platform (for beginner and advanced users), Text Mining, and Big Data, as well IoT Analytics, and Advanced Analytics.

We had a great time hosting everyone in Berlin and are already looking forward to the KNIME Fall Summit from November 6 - 9 in Austin, TX.Register now for early bird tickets!

Join us in Stuttgart for an evening on Big Data and Machine Learning!

Machine learning and 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 an update on KNIME software - including a glimpse at what is new in the most recent 3.5.2 release of KNIME Analytics Platform and its commercial extensions.

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 on 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 - KNIME Open Source Story and What’s New in KNIME (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

Location:Uhlbacher Kelter, Collegium Wirtemberg, Uhlbacherstrasse 221, 70329 Stuttgart

All talks will be in German – the slides are in English.

Join us at our meetup, hosted together with Dymatrix on the evening before Dymatrix' DynaSummit, in Munich.

We look forward to an evening of interesting talks and discussion on customer centriticy, innovative use cases involving text and image data and the open analytics platform.

If you would like to attend, please register through the Dymatrix webpage.

Agenda:

• 18:00 - Welcome & Opening (Thomas Dold, DYMATRIX CONSULTING GROUP)
• 18:15 - The Open Analytics Platform (Thomas Gabriel, KNIME)
• 18:30 - Customer Centricity - Wie Alder Modemärkte Relevanzsteigerung für den Kunden durch Individualisierung realisiert (Paul Christ, ADLER Modemärkte und Dr. Sebastian Moll, DYMATRIC CONSULTING GROUP)
• 19:00 - Jacke wie Hose? - Innovative Use Cases mit Text- und Bilddaten (DYMATRIX CONSULTING GROUP)
• 19:30 - Get together

Location: Hotel NH München Ost Conference Center,  Einsteinring 20, 85609 Aschheim

We’ve just released the latest version of KNIME Analytics Platform and here’s a quick summary of what’s new.

There are enhancements to our deep learning integrations, added support for H2O Sparkling Water, and many utility nodes including a multi column dictionary tagger and a numeric outlier node, a powerful multi column expression node, nodes to handle your Git repositories, and many more. Along with this, many UI improvements have been made - including connecting or unconnecting nodes with keyboard shortcuts, zooming, and easy node replacement.

One neat little addition is a node that allows you to create a local, fully functional big data environment from within a KNIME workflow, including Apache Spark, Apache Hive, and Apache Hadoop. You can now try out the Big Data Extensions without the need for an Apache Hadoop cluster. Additionally, we added support for Apache Spark 2.3.

On the KNIME Server side, we’ve added a number of new features as well, most notably an option that makes it easier for IT operations to centrally manage KNIME Analytics Platform preferences.

One of the highlights of this release is the new KNIME Workflow Hub - a place for the community to share workflows and browse all our existing example workflows. We have also added the ability to comment and rate workflows making it easier to find the highlights.

All the release details are summarized here, as well as in the more detailed changelog. We’ve also put a video together, highlighting lots of the new features. But really, the best way to check it out is by trying it for yourself. Open KNIME and go to File -> Update KNIME to get the latest version, or download and install it from here.

Don't forget to mark your calendars for the KNIME Fall Summit in Austin, Texas from November 6-9, 2018 - it will be a good chance to see some of these new features in action!

Have a great summer!

Our 3rd annual KNIME Fall Summit is taking place from November 6-9, 2018 in Austin, Texas! Join us, along with top data scientists and industry thought leaders, for four days of learning more about KNIME Analytics Platform and how it's being used to solve complex data problems in areas such as life sciences, manufacturing, marketing, retail sales, and more. There'll also be plenty of opportunities to meet the people behind KNIME and hear about new and upcoming features, as well as discuss all things data science and data analytics with other KNIME users and enthusiasts.

Agenda Overview

Since many of last year's attendees asked for more courses, we are now starting a day earlier and offering courses on both Tuesday and Wednesday before the Summit begins on Thursday.

Courses

On November 6 & 7 we are offering several one-day KNIME courses that cover a variety of topics. Your Summit registration allows you to select either one or two of these full day courses:

Tuesday, November 6, 2018:

• KNIME Analytics Platform for Beginners: From installation to utilization and everything in between
• Text Mining with KNIME Analytics Platform: Using the Textprocessing Extension
• KNIME Big Data Extensions: Data Mining with Apache Hive and Apache Spark
• Advanced Analytics Methods with KNIME Analytics Platform

Wednesday, November 7, 2018:

• Advanced Users in KNIME Analytics Platform: Beyond the basics
• Text Mining with KNIME Analytics Platform: Using the Textprocessing Extension
• KNIME Big Data Extensions: Data Mining with Apache Hive and Apache Spark
• IoT Analytics with KNIME Analytics Platform
• The Power of Random: Using Perturbation Experiments to Improve Model Accuracy and Interpretation. Presented by Dean Abbott, SmarterHQ

Accommodation

The Fall Summit will once again be held at AT&T Executive Education and Conference Center. We have secured a special price for a contingent of rooms at the AT&T Center. Use this link (or group reservation code KNIMEM1118) to get the KNIME Summit rate. We advise booking early!

Registration

From November 6 - 9, 2018 we held our 3rd annual KNIME Fall Summit in the US in Austin, Texas. We had over 200 people there this year and it was great seeing so many new faces amongst the regular Summit attendees - thank you to everyone who joined us!

Michael Berthold opened the Summit by reflecting on another year of significant growth - including the half a dozen new KNIMErs who have joined the US team in 2018 additions in the. He also took a moment to thank the KNIME community for their ongoing contributions which helped us keep our position as a leaders in analyst reports. Lastly, he discussed new and growing trends in Data Science, as well as in Automated ML/AI and put them into context with our Guided Analytics vision. Check out his presentation .

Thursday and Friday were full of engaging presentations from data scientists, business analysts, and independent users from across different industries such as Marketing, HR, Sales, Manufacturing, Life Sciences, Cybersecurity, and more. Their presentations highlighted the diverse application areas of KNIME Software - from text mining, guided analytics, and disease tagging, to anomaly detection, image analysis, bots, and more. We also looked into what’s new and what’s cooking at KNIME. Thank you once again to our speakers for all these great presentations! You can check out their slides here.

Based on feedback from last year, we extended the Summit by offering KNIME Courses on Tuesday and Wednesday. There were courses in KNIME Analytics Platform (for beginner and advanced users), Text Mining, and Big Data, as well IoT Analytics, and Advanced Analytics. Dean Abbott was also there delivering his course on “The Power of Random”.

It was great hosting everyone in Austin and we are now looking forward to the KNIME Spring Summit from March 18 - 22, 2019, in Berlin, Germany. A 30% early bird discount is available for those who want to secure their spot early.

Amazon Web Services re:Invent is taking place on November 26 -30, 2018 in Las Vegas, NV and KNIME will be there! This conference offers machine learning “Builder Sessions” and an “AWS Marketplace Machine Learning Hub” including KNIME Software. The goal of these hands-on sessions is to provide attendees expert guidance on machine learning building and data science automation for predictive quality management, predicting risk, and predicting excess stock inventory models.

New trial offers

To help machine learning builders and data scientists get started fast, KNIME has a new free trial-and-subscribe offering in the flexible and on-demand AWS Marketplace. It’s called KNIME Server Small for AWS. Customers can trial open source KNIME Analytics Platform and KNIME Server Small products via the AWS Marketplace to continue developing machine learning models and building their data science platform expertise. KNIME Software complements many Amazon AWS services such as SageMaker, RedShift, Athena, EMR, Kinesis, and Comprehend as integrated services to provide enterprises with data science automation for accelerating great decision making quickly, securely, and at scale.

By launching these new offerings, we aim to provide KNIME on AWS customers self service control over their data science, machine learning, and AI pipelines, drive expertise and technology reuse, and facilitate interactions among data scientists, developers, and the business units they serve. The KNIME Software’s graphical workflow editing and development tools - covering data prep and mining, ETL, machine learning, deep learning, and deployment, in combination with native integrations and extensions such as Tensorflow, Keras, H2O.ai, Tableau, Spark, Hadoop, Python, R, REST, and many others, bring an agile and open approach to data science pipelines to help drive intelligent decision making across the enterprise. KNIME on AWS covers a diverse set of use cases from drug discovery to call center efficiency, automotive benchmarking, customer journey orchestration, and many more.

Visit KNIME at AWS re:Invent and check out how KNIME is being used in the Machine Learning Builder Sessions. We’ll also be in The Quad running KNIME Software demonstrations.

Get started today by using KNIME on AWS through the AWS Marketplace and leverage one of our hundreds of example workflows, workflows/models available from partners via KNIME Workflow Hub, or build your own using our own guided workflow assistant. Trial KNIME Server Small or KNIME Analytics Platform on AWS free for thirty days.

We’ve just released the latest versions of KNIME Analytics Platform and KNIME Server and here’s a quick summary of what’s new.

Some of the highlights in this release are a number of new interactive views (check out the new CardView and Heatmap), new integrations allowing KNIME workflows direct access to Google Drive and Tableau’s Hyper format, and a number of new statistical tests. New XGBoost nodes add access to this well known high performance machine library, while a more hidden gem is the completely new layout editor for composite views of metanodes, which allows you to build your own library of personalized view nodes.

There are also new integrations with Jupyter Notebooks and PySpark. Now you can import and run code from Jupyter notebooks directly in your KNIME workflow. Adding Python to your big data workflows is also now possible, allowing you to seamlessly mix and match Python with existing nodes from the KNIME Extension for Apache Spark.

KNIME Server offers new automation and management services for data science and IT teams productionizing workflows and data science applications. Now you can automatically scale your infrastructure with our Distributed Executors and automate remote workflow editing and control. New management services are also available for centrally adding customizations to KNIME Analytics Platform users.

All the release details are summarized here, as well as in the detailed changelog. However, the best way to check it out is by trying it for yourself. Open KNIME and go to File -> Update KNIME to get the latest version, or download and install it here.

Remember to mark your calendars for the KNIME Spring Summit in Berlin, Germany from March 18-22, 2019, where you can see some of these new features in action!

Zurich, January 28, 2019 - For the sixth year in a row, KNIME^®, the open source platform for data driven innovation, has been placed in the leader category in Gartner’s 2019 Magic Quadrant for Data Science and Machine Learning Platforms. The placement recognizes ability to execute and completeness of vision.

Gartner, Inc. describes leaders as having “a strong presence and significant mind share in the market. Resources skilled in their tools are readily available. Leaders demonstrate strength in depth and breadth across a full model development and implementation process. Leaders are in the strongest position to influence the market's growth and direction. This gives them the advantage of a clear understanding and strategy for the data science market, with which they can become disrupters themselves and develop thought leading and differentiating ideas.”

“We have always believed it is the data science and machine learning community that ultimately decides what the leading platforms are. We are humbled by the response of KNIME users across all industries, continents, and application areas which has helped us achieve this honor,” says Michael Berthold, CEO, KNIME AG. “That community comprises not only users who use our software, but many who also contribute to it.”

The KNIME approach is unique. Its integrative, open source approach ensures all capabilities required of an individual data scientist are available for free and with no restrictions. This includes leading edge technologies such as text mining, image processing, the newest trends in machine learning / artificial intelligence, as well as integrations with other platforms and engines such as Python, R, Spark, H2O, and Keras/TensorFlow for Deep Learning. “KNIME simply does it all within one platform, allowing you to mix and match and move seamlessly from prototyping to production as required, depending on the problem you are solving,” says Phil Winters, KNIME advocate and “Father of Customer Intelligence”. “For me as an individual, everything I do - regardless of scale - is free. I strongly believe that KNIME has set the standard that others must now scramble to follow.”

“We are continuing to not only add leading edge methods, but are also placing a strong emphasis on blueprints for Guided Analytics and Guided Automation. These are an extremely practical way of helping the KNIME community get “focused AI” applications into the hands of even more users,” continues Berthold. “Our commitment to open source is unwavering. This transparent business model works for everyone and we will keep it that way.”

For further information, contact KNIME at info@knime.com, or download KNIME and discover it for yourself. KNIME – Open for Innovation^®.

Become part of this innovative and active community. Find out more about the opportunities and best practices provided by advanced analytics and join us at this meetup, hosted by our trusted partner DYMATRIX on the evening before DYMATRIX' DynaSummit, in Stuttgart.

We look forward to an evening of interesting talks and discussion on customer centricity, innovative use cases involving text and image data and KNIME Analytics Platform.

For more information and how to register, please visit the DYMATRIX webpage.

Agenda

• 6:00 PM - Welcome & Opening (Thomas Dold, DYMATRIX CONSULTING GROUP)
• 6:15 PM - KNIME Analytics Platform (Kilian Thiel, KNIME)
• 6:30 PM - Analytische Zusammenarbeit der Vertriebsmarken des Energiekonzerns innogy über KNIME (Dr. Jochen Blessing, innogy)
• 7:00 PM - "Auf Knopfdruck berechnet“: Wie Realtime Prognosen in die eigene Webseite integriert werden können (Christoph Hansmann, DYMATRIX CONSULTING GROUP)
• 7:30 PM - Get together

Location

Design Offices, Lautenschlagerstraße 23a, 70173 Stuttgart

Our 4th annual KNIME Fall Summit is taking place from November 5-8, 2019 in Austin, Texas. Join us, along with top data scientists and industry thought leaders, for four days of learning more about KNIME Software and how it's being used to solve complex data problems in areas such as life sciences, manufacturing, marketing, retail sales, and more. Mmeet the people behind KNIME and hear about new and upcoming features, as well as discuss all things data science and data analytics with other KNIME users and enthusiasts.

Courses

On November 5 & 6 we are offering several one-day KNIME courses that cover a variety of topics. Your summit registration allows you to select either one or two of these full day courses. More courses will be added over time.

Tuesday, November 5, 2019:

• KNIME Analytics Platform for Beginners: From installation to utilization and everything in between
• Text Mining with KNIME Analytics Platform: Using the Textprocessing Extension
• KNIME Big Data Extensions: Data Mining with Apache Hive and Apache Spark

Wednesday, November 6, 2019:

• Advanced Users in KNIME Analytics Platform: Beyond the basics
• Text Mining with KNIME Analytics Platform: Using the Textprocessing Extension
• KNIME Big Data Extensions: Data Mining with Apache Hive and Apache Spark

Venue

The Fall Summit will once again be held at AT&T Executive Education and Conference Center.

Register

Welcome to the series of Artificial Intelligence Learnathons!

SourceSense and IAML will be running and hosting this event, promoted by KNIME, which will focus on automated machine learning and data visualization. We will work in groups. Each group will build a simple application for automated Machine Learning (ML), with an input page to insert the settings for data preparation, model training, and hyper-parameter optimization and an output page to visualize model insights and performance. At the conclusion of the event, the application will be deployed on KNIME Server and be run from a web browser.

The tool of choice for this learnathon is the open source, intuitive, KNIME Analytics Platform, which also offers great integrations with R, Python, SQL, and Spark. Free trials for KNIME Server licenses will be distributed for the final deployment.

After an initial introduction to KNIME Analytics Platform, KNIME Server, and automated ML, we will split into two groups, with each group building one of the following:

• Group 1: the user interface for interactive visual data exploration and automated ML settings
• Group 2: the final dashboard to visualize model accuracy and speed performance

We will provide a dataset, jump-start workflows, and final solutions for the proposed tasks, and of course data visualization and ML experts.

Please bring your own laptop with KNIME Analytics Platform pre-installed. To install KNIME Analytics Platform, follow the instructions provided in these YouTube videos:
Windows: https://youtu.be/yeHblDxakLk
Mac: https://youtu.be/1jvRWryJ220
Linux: https://youtu.be/wibggQYr4ZA

If you would like to get familiar with KNIME Analytics Platform and KNIME Server, you can explore the content of our E-learning course.

Before the event, we will share the link to download the workshop material (jump-start workflows and instructions).

Agenda

• 6:30 PM - Welcome by SourceSense, IAML, and KNIME
• 6:40 PM - Introduction to KNIME Analytics Platform and KNIME Server
• 7:00 PM - Building Applications for Automated Machine Learning
• 7:20 PM - Let’s build a Guided Analytics Workflow!
• 9:30 PM - Wrap-up Session and Live Demo of Solution

This is a free event, open to everbody who is interested. Food and drinks will be provided.

We should also mention that seats are limited - so make sure to register soon here!

Location:

SourceSense S.p.A.
Via del Poggio Laurentino 9
Rome, Italy

References:

Principles of Guided Analytics, KNIME Blog

Intelligently Automating Machine Learning, Artificial Intelligence, and Data Science, KNIME Blog

From March 18-22 we held our 12th annual KNIME Spring Summit in Berlin, Germany. KNIME users and enthusiasts got together for a week of courses, presentations, workshops, an evening at the movies, and the chance to network. This year we welcomed over 400 people through the doors. Alongside the regular Summit attendees, it was great to see so many new faces. Thank you to everyone who joined us!

Wednesday and Thursday were full of engaging presentations from data scientists, business analysts, and independent users across industries such as marketing, life science, production and manufacturing, customer intelligence, and banking. Their presentations highlighted the diverse application areas of KNIME Software from predictive modeling, image processing, and data visualization, through to spectral data analysis, IIoT, machine learning, guided automation, and more. We also looked into what’s new and what’s cooking at KNIME. Thank you once again to our speakers for all these great presentations! You can check out their slides here.

On the Monday and Tuesday before the summit began, we ran KNIME Courses covering topics ranging from beginner and advanced users in KNIME, through to specialty topics such as text mining, big data, and IoT analytics. We also ran our first half-day KNIME Refresher Course on Tuesday, as well as a meeting for our KNIME Community Developers. There were also other events such as the poster session on Thursday (featuring 22 posters from the KNIME Community), our partner exhibition, workshops on Friday morning, and the debut of our KNIME Certification Program.

It was great hosting everyone in Berlin and we are already looking forward to KNIME Fall Summit in Austin, Texas from November 5-8, 2019. An early bird discount is available for those who want to secure their spot early.