Connected Systems Institute

Best Practices in Data Visualizations
2024-02-23 12:00 - 13:00 (America/Chicago)
Best Practices in Data Visualizations
Presented by: Supply Chain Management Institute
Overview
We deal with more data in our jobs than we ever have before. The challenge is not only to analyze the data, but to also present it in a meaningful way.
This training is for analysts who work with a large amount of data and want to learn the best practices for presenting and visualizing the data. Dr. Odai Khasawneh will lead this interactive training session in which you will learn techniques to design a clear visualization tailored to meet your stakeholders’ needs.

In the training, different visualizations will be examined to identify the insights and value each provides. In addition, the strengths and weaknesses of different charts will be explored, and when to use them. All examples and illustrations are provided in MS Excel since it is the most accessible.

Interactive MS Teams session, Register here.
Facilitators
Dr. Odai Khasawneh, Lubar College of Business Teaching Faculty
Information Technology Management
Mark Kosfeld, Director, Supply Chain Management Institute
Teaching Professor, UWM Lubar College of Business

“Are We Ready to Adopt AI?”
2025-01-08 13:00 - 16:00 | Connected Systems Institute, 2311 E. Hartford Avenue GML E 110 GML E 110, Milwaukee, WI, 53211, United States
Register Here!
Part 1 of UWM’s CSI and Cirrus Change AI Readiness for Manufacturing series.
AI is no longer optional — it’s essential for competitiveness. But most organizations stall not because the tools fail, but because their people aren’t ready. In fact, up to 90% of AI projects fail due to people factors: misalignment, resistance, or lack of preparation.
That’s where this workshop comes in.
Sponsored by UW Milwaukee’s Connected Systems Institute, change readiness experts Mel Starkweather and Joe Plasterer will help you uncover the hidden barriers that keep teams from adopting AI — and the specific steps you can take to overcome them.
In this hands-on session, you will:

Discover how change-ready teams make AI adoption faster, smoother, and more cost-effective.
Learn practical tools: defining success, building and validating a vision, assessing readiness, planning communication and engagement, and reinforcing adoption over time.
Work through case studies and exercises with peers to design solutions you can take back to your organization.

This workshop isn’t about technology — it’s about change readiness. Organizations with embedded open-source change skills have a faster time to adoption, increased engagement and increased intent to stay. Join us to learn how to prepare your workforce, lower the risks of AI adoption, and unlock faster ROI.
Key Takeaways:

Understand the cultural issues that can make change hard, and ideas for improving those. Attendees will leave being able to identify cultural challenges that impeded change readiness.
Apply Change Readiness Practices to AI Projects – Attendees will leave with concrete strategies to prepare their teams for AI adoption: Define Success -> Build the Vision -> Assess Readiness -> Plan Communication -> Reinforce & Sustain
Recognize the Role of Readiness in AI Success– Participants will understand why most stalled AI initiatives fail due to people issues (resistance, lack of alignment, burnout) rather than technology — and how change-ready teams reduce these risks.
Apply Change Readiness Practices to AI Projects – Attendees will leave with concrete strategies to prepare their teams for AI adoption, including building engagement, reducing resistance, and aligning leadership support — so rollout feels less like disruption and more like progress.
Accelerate Adoption and Capture ROI Faster – Leaders will see how fostering change-ready behaviors (adaptability, communication, continuous learning) shortens adoption cycles, increases confidence in new technology, and helps manufacturers realize the value of AI investments sooner.
