Data Science in Action: KNIME Spring Data Talks Set for March 24

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ZURICH - March 12, 2021 - PRLog -- KNIME, an open source data analytics company, is hosting KNIME Spring Data Talks, three packed hours of "Data Science in Action," online March 24, 2021, streaming live. This one-day event is a compact version of the week-long KNIME Spring and Fall Summits from previous years.

"Last year, we were forced to quickly move our Summit from on-site in Berlin to online. In the meantime, we received lots of feedback and believe that a shorter format is more suitable for online," said Michael Berthold, CEO and co-founder of KNIME. "We will continue to add additional online events throughout the year until we can hopefully get back to meeting in person next year."

Registration for KNIME Spring Data Talks is free and includes on-demand replays and slideshows after the event; https://datatalks.knime.com/spring2021.

Learning how other attending companies productionize data science, connecting with the KNIME community, peeking over the shoulder of KNIME developers on KNIME software, asking questions that will be answered live, and viewing the recorded presentations post-event are some of the many highlights.

The KNIME Spring Data Talks are part of a series of online KNIME Data Talks, which will be offered frequently throughout the year. These are data science events with a focus on either a specific region, language and time zone, or topic.

What: KNIME Spring Data Talks

Who: Data scientists, IT managers, business analysts, enterprise architects, practice team leaders, data engineers, ML/AI engineers

When: Wednesday, March 24, 2021, 10 a.m.-1 p.m. EDT (3-6 p.m. CET)

Where: Register at https://datatalks.knime.com/spring2021

Cost: Free

Agenda (all times EDT):

10 a.m. – Welcome and "Visual Programming for Data Science," Michael Berthold, founder/CEO, KNIME

10:30 a.m. – Data Science in the Organization
  • "Using Predictive Marketing Models to Maximize Relevance for our Customers," Hans Samson, Marlene Hakvoort (ANWB)
  • "Creating an Analytical Data Model for Banking Supervision," Perttu Heikki Korhonen (Qatar Financial Centre Regulatory Authority, QFCRA)

10:50 a.m. – Data Science for Health
  • "Data Science with KNIME, Jupyter and Tableau Using COVID-19 Projections as an Example," Dennis Ganzaroli (Swisscom)
  • "A Year of Pandemic: How KNIME Helps Find New Drug Candidates," Alzbeta Tuerkova (Uppsala University)

11:10 a.m. – KNIME Time: Community and Partners

11:25 a.m. – Breakout Sessions

11:55 a.m. – KNIME Time: What's New and Cooking

12:10 p.m. – Technology Blending Is the New Data Blending
  • "Intelligent Automation Solutions with KNIME on AWS," Madhu Raman (Amazon Web Services)
  • "How To Use KNIME in Application Building," Lexi Harrison, Olivier de Bie (Forest Grove)

12:30 p.m. – Panel: Success Criteria for Implementing Data Science Platforms Across the Enterprise

KNIME Spring Data Talks (https://www.knime.com/about/events/knime-spring-data-talk...)
Register: https://datatalks.knime.com/spring2021 (https://datatalks.knime.com/spring2021/home)

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Dottie ORourke
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