About Digital Innovation
Digital Transformation Pillars
Explore our pillars — Resource Optimization, Infrastructure and Cybersecurity, Digitization, and Institutional Research and Effectiveness — each playing a pivotal role in our commitment to efficiency, connectivity, and adaptability. Join us in building a dynamic, forward-looking institution prepared for the challenges and opportunities of tomorrow.
Resource Optimization and Efficiency
Resource optimization requires more than just implementing new technologies. It involves a shift in mindset and a disruption of traditional ways of running businesses to drive efficiency and effectiveness in achieving digital transformation objectives while measuring the impact and outcomes of resource allocation and utilization.
Tracks
- Rightsizing
- Upskilling Plans
- Contracts Reviews
- Budget Efficiencies
Infrastructure and Cybersecurity
Establish and maintain a robust foundation for the digital transformation journey by prioritizing security measures, adopting scalable cloud technologies, ensuring reliable network connectivity, implementing sustainable practices, and leveraging advanced telecommunication infrastructure for a secure, efficient, and connected campus environment.
Tracks
- DMS Project
- Network Renovation
- Wifi Optimization
- Campus Expansions
Digitization
Establish a comprehensive and effective application and integration framework with the aim of effectively managing institutional applications and integrating different institutional systems to meet the evolving needs of students, faculty, and staff in a rapidly changing higher education landscape.
Tracks
- LMS Modernization
- Automation
- SAP HR
- Banner Upgrades
- AUC Mobile
- AUC Connect
Institutional Research and Effectiveness
Develop and maintain an annual planning process, aligning it with strategic priorities, setting KPIs, and conducting research. This entails handling accreditation updates, assessment processes, ranking submissions, data privacy measures, and establishing robust information management practices for data analytics and warehouses.
Tracks
- Technology Assessment and Efficiencies
- MSCHE Accreditation
- Data Privacy and Governance
- Artificial Intelligence
- Chatbots