UWEBC

Data & Analytics and AI: Navigating Common Dilemmas

An interactive session on reconciling innovation with responsible governance

- 12:00 PM

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Description

In a fast-moving AI era, senior leaders face a pivotal challenge: empower teams to innovate with data and AI while maintaining control, ethics, and alignment. Frontline “AI natives” are experimenting; the C-suite is rightfully focused on governance, security, and risk. The window between a novel AI advantage and a baseline expectation is shrinking. How do we democratize AI and data to drive growth without sacrificing safety, fairness, or our values?

Data & Analytics and AI: Navigating Common Dilemmas tackles these questions head-on. We’ll explore trade-offs—innovation vs. oversight, performance vs. transparency, AI autonomy vs. human judgment—and share pragmatic strategies you can apply immediately. Expect a highly interactive forum: small-group breakouts, candid peer discussion, and a chance to shape the agenda with your registration questions.

Featured Speakers (and more to be announced)

  • Grant Ecker — Senior technology executive; VP, Enterprise Architecture at Ecolab; Founder & Chairman, Chief Architect Network
  • Cody Baldwin — Director, Master’s in Business Analytics, Wisconsin School of Business (UW–Madison)
  • Laura Albert — Professor of Industrial & Systems Engineering (UW–Madison); 2023 INFORMS President

Learning Outcomes

By the end of this event, you will gain:

  • Ideas that balance innovation, risk, and transparency in AI and analytics initiatives.
  • Culture & guardrails that nurture grassroots AI experiments while maintaining oversight and ethics.
  • Translation to value—ways to turn frontline experimentation into enterprise results that scale.

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Additional Information

Location: Zoom
Contact: Events Team, events@uwebc.wisc.edu