Where AI Lives & Where Your Data Goes

Where does my data go?  Session Two of the ISA Tampa Bay Section's AI Series is a plain-language tour of the places AI runs: the cloud, on-premises systems, and the edge. We will look at why latency, safety, and location decide which one fits a given task, and at the questions worth asking before you point a tool like chat-with-your-data at proprietary information. Governance thread: Data classification: know what data may leave the building before deciding where AI runs. Vocabulary: data center · cloud (public / private) · on-premises · edge computing · latency · data sovereignty · OT vs. IT · inference at the edge · fleet management · zero-touch provisioning · digital twin Takeaways: A cheat-sheet card on the final slide: what is safe to put into a public AI tool, a company tool, or a plant-network system. Presenter Bio: Dr. Jeanne McClure is an applied AI researcher, builder, and the founder of Ars Innovate Technologies & Consulting in Raleigh, North Carolina, where she ships B2B AI products and workflows for manufacturing, healthcare, and education, from answering and booking platforms to systems that run entirely on-site, keeping proprietary data in the building. She has worked in classical and modern AI since 2018 and been programming since the early 2000s. Her focus is AI people can trust: human-in-the-loop design, observability, evaluation frameworks, and returns you can measure. Earlier in her career, at packaging company Stephen Gould, she managed end-to-end programs for Revlon, Liggett, and Pergo, from package and label through floor packaging and on-time shipment. Over the last two years she has delivered more than 15 workshops to over 2,000 professionals at all levels on working with data science and AI. She co-authored a 2026 paper, built on her Orchestration Maturity Framework, on why AI readiness is an organizational learning problem, not a technology purchase, and holds a PhD from NC State University.