KNIME Spring Summit 2024

Take a look back at KNIME Spring Summit in this 2-minute recap. Hear from the community, partners, and the KNIME team about their Summit highlights.

Learn how organizations can drive up GenAI adoption to increase data science upskilling, the development of GenAI apps and services, the deployment of insight to thousands of end users, while driving down GenAI risk through a transparent governance framework to validate and deploy GenAI solutions at scale.

Speaker: Michael Berthold (KNIME)

Data governance initiatives all face the problem that no one size fits all. Hear how Marcel and his team at Siemens Healthineers use KNIME in their governance efforts to describe data operations, enforce standards, automate tasks, and enable end-to-end data lineage for tens of millions of rows of data.

Marcel Meyer (Siemens Healthineers)
 

Direct clinical insight, personalized medicine, and improved digital health solutions are just some of the benefits of training future healthcare providers in digital health. But fitting new digital health content in an already full curriculum is challenging. Hear about the learning path created at VCU to help students (with no prior coding experience) gain the skills to develop functional digital health solutions with KNIME in just five weeks.

Prof. Dayanjan (Shanaka) Wijesinghe (VCU, School of Pharmacy)

Business plans, targets, and GTM strategies all depend on AMD’s Total Available Market (TAM) forecasts. It’s critical to get it right but it involves processing millions of rows of data from multiple sources. See how a data team of just seven people have built a fully automated and standardized process framework for TAMs that serves the entire organization with reliable insight.

Laura Rutledge (AMD)

In the age of GenAI, will data scientists become obsolete? Do we still need data scientists, and if yes, what for? What could universities introduce to a data science curriculum to better align with the state of the industry? How can businesses benefit from the openness universities have with each other and share findings and data? The panel of educators and industry leaders discussed these questions and more, exploring how academia and industry can work together to fill the talent gap.

Host: Rosaria Silipo (KNIME)
Panel speakers: Prof. Delen (Oklahoma State University), Prof. Davazdahemami (University of Wisconsin-Whitewater), Frank Acito (Associate Dean, Indiana University), Fabiola Martina (Siemens Healthineers), Chenny Solaiyappan (Cognizant), Jamie Crossman-Smith (Grant Thornton)

Constraints on budgets, time, and resources are the main challenges to building data-driven solutions. Director of Business Intelligence at Hennessy Automotive, Michael Richter, shares his best practices for overcoming these constraints to build data solutions that will have a clear impact on the bottom line. Learn how he balances effort and gain, by asking four simple questions: Who will benefit, how long will it take, what’s the upside, and what will it cost to build – or not build?

Michael Richter (Hennessy Automotive)

In drug discovery, efficient iterations through design cycles and early collection of decision-driving data is critical for accelerating drug discovery. Learn how Congruence Therapeutics use KNIME to streamline data management, analysis, and modeling during the drug discovery process by quickly deploying cheminformatic tools as interactive data apps to guide design and decision making.

Lee Fader (Congruence Therapeutics)

Selman Bayoglu shows how the low-code environment with KNIME has opened up access to advanced analytics techniques for his team at Kuvyet Türk. Learn how they have now generated an additional 10% in annual treasury revenue thanks to analytical activities.

Selman Bayoğlu (Kuveyt Türk Participation Bank)

It’s one thing to generate insight, but it’s another to ensure everyone in your organization can benefit from it. Iris, who heads the KNIME Data Team, demonstrates how they use KNIME to provide insights across the entire company. Learn how the Data Team collaborates with business partners, and how you too can use KNIME to automate and standardize reporting, enable self-service analytics, manage KPIs, control data pipelines, and more, to put data insight into the hands of as many people as possible.

Iris Adä (KNIME)

Ease of use and large-scale access to analytics are the focus of many of the latest KNIME software news and upcoming features. Explore new reporting capabilities with our in-built AI coding assistant (K-AI), the ability to inspect workflows in the browser, a soon-to-come Variable Filter node (the #1 most requested feature on the KNIME Forum), and more in KNIME Analytics Platform. Learn how to collaborate easily in teams on KNIME Community Hub and see a demo of how you’ll soon be able to go from inspecting to editing workflows in-browser. Learn about safeguarding production environments and secret stores in KNIME Business Hub.

Bernd Wiswedel, Adrian Nembach, Simon Schmid, Gergely Bányai, Jim Falgout, Wali Khan (KNIME)

Kate Bartkiewicz shares her learnings as a tech founder and someone who built a startup using KNIME. Hear how an entrepreneurial mentality helped get her data science work in production and how KNIME can be used to easily access data and communicate insights to stakeholders so you can scale startups in the most effective way. 

Kate Bartkiewicz (digData) 

Data science skills open doors to career opportunities. Ricardo Auerbach shares how he upskilled with KNIME without any prior programming skills, which prepared him for his role as Process Engineer at Benteler Steel/Tube. Ricardo talks about his upskilling project to optimize bus routes, in which he implemented advanced techniques like k-means clustering and geospatial analysis. Learn how his KNIME project paved the way for his current work at Benteler where he uses his new skills to harness huge quantities of data from SQL, PLCs, IMS gauges, etc., and perform rapid ad-hoc data analysis. 

Ricardo Auerbach (Benteler)

Large-scale data science upskilling is difficult to achieve. But Yamaha Motors upskill 1000+ employees every year to use data science in their daily work. Hokuto Fujii, from Yamaha, gives a real-life example of how he trained 1,200 colleagues to use KNIME from scratch and start benefiting from low code data science. KNIME’s Scott Fincher joins the talk to discuss the KNIME training paths and resources that are available to achieve large-scale data science adoption. 

Hokuto Fujii (Yamaha) & Scott Fincher (KNIME)

Accuracy and timeliness of data are crucial for the operational efficiency, reliability, and safety of South Australia’s electricity transmission network, for which ElectraNet is responsible. Learn how a new KNIME solution enabled ElectraNet to transition from a time-consuming process of manually inspecting images of insulators on pylons, to an automated machine learning solution. Dakshitha from ElectraNet discusses how they can detect characteristics in thousands of images in just minutes, ensuring quality data for reliable downstream decision-making.

Dakshitha Narendra Kiranakankanamage (ElectraNet) & Jérôme Treboux (Forest Grove)

Three data experts from Cargill, Nufarm, and iuvity, share their challenges and successes implementing KNIME. Hear how they got buy-in from stakeholders, how KNIME helps end customers, and their perspective on optimizing its use to enhance operational efficiency and navigate complexities. You’ll also hear how KNIME helps build a data-driven culture and sense of community. 

Host: Jennifer Ostyn (KNIME)
Panel speakers: John Thompson (Cargill), Louis Raoul t’Serstevens (Nufarm), Edgar Osuna (iuvity)

Watch the award ceremony, during which INFOCOM and Equinoxys were announced as the respective winners of the KNIME Partner and Innovation Partner of the Year 2024 for their outstanding contributions and achievements. "These awards are a testament to the strength and support of our entire partner network. We are happy to recognize Infocom and Equinoxys for their exceptional achievements, which exemplify the impact our partners can have," says Vincenzo Tursi, Partner Director at KNIME.