Universities struggle with fragmented data across departments, limiting real-time visibility and AI readiness. A unified data platform built on tools like Elasticsearch and Kibana can consolidate IT infrastructure data, break down silos, and enable observability, cybersecurity, and AI-powered applications. Case studies from Georgia State University, Texas A&M, and MISI illustrate how consolidating data platforms saves analyst hours, improves security workflows, and frees staff to innovate. Effective AI adoption in higher education requires trusted data foundations, institutional governance, and accessible platforms.
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The rise of the intelligent institutionData silos in higher education institutionsHigher education analytics starts with connected dataFrom data visibility to higher education innovationWhat intelligent institutions look like in practiceBuilding the foundation for higher education innovation and AIIntelligence is built, not boughtShare93 Impressions