These posts translate research, teaching, and applied work into practical guidance for organizations, educators, and community partners working with artificial intelligence and data analytics.
Why agent frameworks that connect models to real tools make the one-person-company narrative plausible—and why moving fast without a security-minded frame of reference is where things go wrong.
Leadership alignment, data foundations, workforce skills, governance, vendors, and measurement before an organization buys another AI tool.
Academic integrity, procurement, privacy, accessibility, faculty support, and cross-campus coordination when generative AI moves quickly.
Practical use cases for lean teams, including customer response, operations, marketing drafts, spreadsheet support, and lightweight governance.
For the full long-form article index, see Articles & guides.