Accelerated machine learning, customer intelligence, data anonymization and inventory optimization by KNIME. We hope the Meetup will supply you with important new insights. Join us at Goto 10
The Stockholm KNIME Meetup will introduce you to the KNIME Analytics Platform’s potent capabilities related to these strategic domains:
● Customer intelligence
● Inventory optimization
● Data anonymization
● Accelerated machine learning
Whether you’re an experienced Python/R programmer or a business analyst, you can benefit from KNIME’s highly effective:
● Data blending
● Data cleansing
● Data visualization
● Machine learning enhancement
We hope the Meetup will supply you with important new insights—inspiring you to better exploit business intelligence and more effectively increase the cogency of reports/information your organization produces.
18:00 – 18:05: Introduction
18:05 – 18:15: KNIME intro by Kilian Thiel
18:15 – 18:45: Inventory Optimization and Customer Intelligence use cases by Kilian Thiel
18:45 – 19:15: KNIME for optimum data anonymization and synthetic data generation by Artem Ryasik
19:15 – 21:00: Snacks and Drinks and Networking
Kilian Thiel is Partner Manager at KNIME and heading the KNIME’s Berlin office. He has extensive experience with the analysis and mining of conventional, textual, and network based data. He played a leading role in the design and development of, among others, the text mining and analysis modules for the KNIME advanced analytics platform.
Artem Ryasik holds a doctorate in biophysics and started his career in research in 2011. Artem has developed a new approach to classifying DNA properties using methods of machine learning, network analysis and data mining. In addition, his experience includes a variety of cutting-edge projects involving mathematical modeling, solution of differential equations, numerical simulations, data analysis, network analysis and machine learning. Artem is an advanced analytics engineer at Redfield AB in Stockholm, Sweden.
Det är helt kostnadsfritt att vara medlem på Goto 10.
För att kunna gå på evenemang hos Goto 10 behöver du registrera dig som medlem. Det är helt kostnadsfritt. Vänligen fyll i formuläret nedan.