How to use data with AI for business growth | Emily Tell, EMBA posted on the topic | LinkedIn

Businesses unlock meaningful AI outcomes when their teams root models in high-quality, well-governed data that reflects real customer needs and revenue goals. Emily Tell, EMBA, notes that leadership alignment on objectives and metrics builds the case for targeted investments instead of experimentation for its own sake.

She recommends auditing current data assets, defining decision-ready dashboards, and coupling AI pilots with clear KPIs so every model iteration feeds back into measurable operational gains. Cross-functional squads keep domain experts close to data scientists, accelerating feedback cycles and adoption.

Emily also highlights responsible AI guardrails—privacy, bias mitigation, and continuous monitoring—to maintain trust as analytics scale. When organizations pair disciplined data practices with iterative AI deployment, they generate compounding business growth.