Upcoming Summits

KNIME Fall Summit 2018 – Austin

- Austin, Texas, USA

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.

Overview – Courses – Agenda – VenueRegister

 


Previous Summits

KNIME Spring Summit 2018 - Berlin

- Hotel Berlin, Berlin - Lützowplatz 17, 10785 Berlin, Germany

Join us and other KNIME users for the 11th KNIME Spring Summit at Hotel Berlin, Berlin from March 5 - 9, 2018. Leading data scientists will be there to share how they use KNIME software for solving complex data problems across a variety of fields. We have an agenda filled with training courses, Summit sessions, and workshops with presenters from various companies, KNIME community members, our customers, and of course our very own KNIME team.

KNIME Fall Summit 2017 – Austin

- Austin, Texas, USA

Our 2nd annual fall conference for KNIME Users and Enthusiasts takes place on November 1-3, 2017 in Austin, Texas! We have invited some of the world’s leading data scientists to speak about their use of KNIME software to solve complex data problems in areas including the life sciences, manufacturing, marketing, retail sales, and many others.

KNIME Spring Summit 2017 – Berlin

- Hotel Berlin, Berlin - Lützowplatz 17 - 10785 Berlin, Germany

Our 10th annual conference for KNIME Users and Enthusiasts takes place on March 13-17 in Hotel Berlin, Berlin! We have invited some of the world’s leading data scientists to speak about their use of KNIME software to solve complex data problems in areas including the life sciences, manufacturing, marketing, retail sales, and many others. Speakers include representatives from ACCUmotive, Datatroniq, Eli Lilly, Palo Alto Networks, Siemens, Venice Airport, and Vernalis. Dean Abbott will, as every year, conclude the main Summit program on Thursday.

KNIME Fall Summit 2016 – San Francisco

- Mission Bay Conference Center, 1675 Owens St #251, San Francisco, CA 94158, United States

KNIME Fall Summit 2016 was our first KNIME Summit in the US. Thank you to everyone who contributed to making this a success – to the speakers for the stimulating presentations, to the participants for taking part and entering into dialogue with us, and to the people at Mission Bay Conference Center for their great logistics. If you missed any of the presentations, we are uploading slides here.

KNIME Spring Summit 2016 – Berlin

- Berlin

Did you miss our KNIME Spring Summit 2016 in Berlin? Don't worry come and join the KNIME Fall Summit 2016 in San Francisco, September 14-16, 2016.

A big “Thank you” goes out to everybody at our KNIME Spring Summit 2016 – Berlin. Thanks for sharing ideas, questions and stimulating conversations. And to everyone who couldn’t make it this year: Sorry, we really missed you! We look forward to seeing you all at the next KNIME Summit later this year, location to be announced.

 


The KNIME Summits started as an annual User(s) Group Meeting (UGM) in Zurich, Switzerland, inviting users of KNIME Software to demonstrate and talk about how they apply it to their data analytics challenges. Each year the conference has grown, moving to larger venues, resulting now in two Summits per year. We host the KNIME Spring Summit in Europe and the KNIME Fall Summit in the US.

Every year we invite data scientists, who work with our platform on every kind of data: From numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics. We also bring together the KNIME community of users, practitioners, and researchers in order to see how KNIME is applied in modern, advanced data analytics.