This presentation brings a common awareness about the corporate data team that most organizations are establishing as they go through their enterprise transformation and modernization journey. The corporate data team, often referred to as the Data Office, serves as a critical function responsible for managing data quality, governance, and integration across disparate source systems providing accessibility to analytics and reporting for all business departments in the organization. This case study explores the history of how organizations typically handled data in the past and how technology as well as data practices have evolved to leverage data to become a critical element for an organization’s enterprise strategy. We will examine how the data team is structured, the impact of each of the key roles (such as data engineers and data scientists), how data is governed, and the data architecture that is supported by a centralized data team. The presentation also reviews the technical and organizational challenges faced by modern corporate data teams. This session should demonstrate why organizations have had to mature their data practices to accelerate business outcomes and efficiently manage data for strategic <a href="http://growth.Speaker(s):" target="_blank" title="growth.Speaker(s):">growth.Speaker(s): Mike Jacobson, Agenda: - Land Acknowledgement- Introduction of the Speaker- Talk on "Emergence of the Corporate Data Team"- Q&A- RefreshmentsRoom: ED 388, Bldg: Education, University of Regina, Faculty of Engineering and Applied Science, Regina, Saskatchewan, Canada, S4S 0A2

The world is nonlinear and linked. Small-gain theory is one of the most important tools to tackle fundamentally challenging control problems for interconnected linear and nonlinear systems. In this talk, I will first review early developments in nonlinear small-gain theorems and associated nonlinear control design and show how it served as a basic tool to unify numerous results in constructive nonlinear control. Then, I will present recent developments in network/cyclic small-gain theorems for complex large-scale nonlinear systems, with a special focus on event-triggered control and feedback optimization. Finally, I will discuss briefly how machine learning techniques can be invoked to relax the conservativeness of small-gain designs, that falls into the emerging area of learning-based control, a new direction in control <a href="http://theory.Speaker(s):" target="_blank" title="theory.Speaker(s):">theory.Speaker(s): Zhong-Ping Jiang, Room: SF B560, Bldg: SF B560,172 St. George St.,, Toronto, Ontario, Canada, M5R 0A3

Creating a safe space after midterms for students to destress and prioritize mental and physical <a href="http://health.Join" target="_blank" title="health.Join">health.Join us in Roosters cafe to unwind and <a href="http://relax.Activities" target="_blank" title="relax.Activities">relax.Activities include:PaintingBoardgamesMusicChattingFace MasksSnacksOttawa, Ontario, Canada