As utilities invest in private LTE to support grid modernization and resiliency, many are discovering that network deployment alone does not guarantee improved operational outcomes. While expectations are high for advanced analytics and artificial intelligence especially, utilities often struggle with fragmented data, limited historical visibility, and organizational friction that slows innovation. This panel brings together utility, technology, and grid modernization perspectives to explore how the industry can move beyond the search for a single “killer app” and instead deliver a scalable, future‑ready “killer experience.” Panelists will discuss how private LTE serves as a foundational enabler for high‑frequency, time‑synchronized grid data and why real value emerges only when that data can be captured, retained, and easily accessed across the organization. Through real‑world utility scenarios, the discussion will examine common barriers to analytics adoption, including the edge vs centralization false dichotomy, data silos, legacy solutions with real limitations on data access, skills perceptions, and changing business priorities. Panelists will share lessons learned on how integrated data and analytics approaches empower existing utility teams, support multiple evolving use cases, and create a durable foundation for predictive operations and AI readiness. Attendees will leave with practical insights into how utilities can maximize returns on private LTE investments and build flexible platforms that adapt as grid needs evolve.