Rick Torres Fireside Chat Guest: Rick Torres — Former CEO of the National Student Clearinghouse; career spanning PepsiCo, Kraft, and Capital One Overview: A fireside chat exploring data-driven decision-making in higher education, the evolving role of credentials, and how institutions can better serve students and adult learners in a rapidly changing landscape. Key Topics Discussed: Short-Form Credentials & the Student Perspective — How students view the value proposition of short-term credentials vs. traditional degrees, and the expectation of immediate economic return. Upskilling Adult Learners — The opportunity for community colleges and technical schools to serve the 37 million Americans with some college but no degree, helping them convert prior experience into new opportunities. Real-Time Institutional Responsiveness — The imperative for schools to have the technology and agility to respond to adult learners quickly and in real time. Regional Workforce Data & Heat Maps — Using Department of Labor data, Burning Glass, and other sources to create regional skill and job demand maps, and aligning institutional offerings accordingly. AI in Vocational & Technical Fields — A Wall Street Journal survey found ~900 of ~1,000 HVAC and technical companies are using AI (pulling schematics, automating billing), highlighting the need for AI literacy in vocational training. Data Privacy & Actionable Insights — How FERPA- and HIPAA-protected data can be used responsibly to benefit learners and educators without trampling privacy. The Future of the National Student Clearinghouse — Its continuing role as a federal intermediary, its relationships with ~90% of U.S. high schools, and its work on tracking socioeconomic lift from credentials. Defining Success with Data — Torres' "Moneyball" analogy for community colleges: institutions should define their own success through data rather than be defined by traditional metrics (e.g., the Austin Community College graduation rate story). A Personal Relationship with Data — Torres' lifelong love of numbers and cross-referencing experiences across fields. Key Quotes: "You can either use data to define who you are, or you will be defined by it — and maybe not in the ways that you like." "The power to show who you are is in the data, and the data is right there in front of you. Don't be defined by traditional metrics." "Is there a way to make use of data without trampling the privacy of individuals? I'm finding that the answer is yes."