Activities

UiPath is a leading Robotic Process Automation vendor providing a complete software platform to help organizations efficiently automate business processes. A core component of the UiPath platform is UiPath Process Mining, which helps to discover opportunities for process optimization and Robotic Process Automation through state of the art Process Mining techniques. Some of these state of the art techniques are explored, researched and prototyped through student graduation projects. An example of such a project is “Visual Conformance Checking”. This technique compares process execution data to the process design, providing businesses with a process “as it runs” versus process “as intended” visual comparison. This conformance information can be leveraged to gain better insights and improve the process, such as through Robotic Process Automations. In this lunch lecture, Dennis Brons will familiarize you with UiPath, Visual Conformance Checking and the graduation project options available. Note: after subscribing, showing up is mandatory! There are 135 spots only with first come first serve.

Do you need/want to use MATLAB and Python together? MATLAB® provides flexible, two-way integration with many programming languages, including Python®. In this hands-on workshop/business case, you’ll learn how to use Python and MATLAB together with practical examples. Coolest of all? You'll learn it from Michelle Hirsch, the Head of Product for MATLAB! Specifically, you’ll learn how to: - Call Python libraries - Call user-defined Python commands, scripts, and modules - Manage and convert data - Package MATLAB algorithms to be called from Python - Calling MATLAB from Python through Jupyter/VS Code Environment - Co-execution of MATLAB with TensorFlow and PyTorch for Deep Learning What do the participants need for the workshop? - Laptop with a modern browser (Google Chrome is recommended), to access MATLAB Online - Basic knowledge of MATLAB or completed MATLAB Onramp Michelle Hirsch is the Head of Product for MATLAB at MathWorks. She drives overall strategy, direction, and messaging for MATLAB and is a principal design coach for MATLAB programming interfaces. Michelle regularly presents on everything from the latest MATLAB features to how to develop inclusive workplaces for transgender people in tech. Prior to joining MathWorks in 2000, she was an acoustician for Boeing. Michelle has a B.S. in physics and mathematics from the College of William and Mary, an M.S. in acoustics from the Pennsylvania State University, and a Ph.D. in mechanical engineering from the University of Delaware. After the workshop, you'll get free pizza so make sure to sign up! Registration is mandatory so we can make sure there are enough seats and refreshments for everyone. This workshop is in-person only. The subscription will use first come first serve.

Would you like to know how ING is implementing the International Financial Reporting Standard (IFRS) 9? Did you know that it relates to the recognition of an entity’s financial asset/liability in its financial statement and includes an expected credit loss (ECL) framework for recognizing impairment. The quantification of ECL is often broken down into its three components, namely, - the probability of default (PD), - loss-given default (LGD), - and exposure at default (EAD). The IFRS 9 standard requires that the ECL model accommodate the influence of the current and the forecasted macroeconomic conditions on credit loss. This enables a determination of forward-looking estimates on impairments. During the lunch lecture, we will be discussing the approaches we use in the bank to incorporate the forward looking macro-economic information in the IFRS9 expected credit losses models. Note: after subscribing, showing up is mandatory! There are 135 spots only with first come first serve.