18 November 2025 - DIG25 Cassandra Phoenix
UCISA - DiG25
AI – Friend or Foe?
DIG25 explored the technical, operational, and societal dimensions of artificial intelligence by examining how storage, security, networking, compute resources, and power consumption shapes its deployment and future impact.
The conference addressed AI’s scalability challenges, environmental footprint, and the risks and opportunities of concentrated control, while also considering its implications for employment, privacy, ethics, education, and institutional infrastructure.
It was designed for IT infrastructure and network professionals as well as technology leaders, DIG25 focused on secure, sustainable, and responsible AI implementation through sector-led presentations, interactive sessions, business showcases, and insightful keynotes.
DIG25 – Programme Overview
Day 1:
Morning: sector case studies on AI chatbots, AI in HE infrastructure, AI-driven service delivery, and cybersecurity for AI.
Midday: Sessions on AI history and adoption, securing AI deployments.
Afternoon: AI policy workshop, breakout sessions on digital transformation and AI’s institutional role, followed by finance-focused AI risks and efficiencies, sustainable AI, and agentic AI.
Day 2:
Morning: sessions on AI-driven observability, campus-wide AI benefits,
Late Morning–Afternoon: Managing AI and data risks, open networking, insights into practical AI deployment,
Common Themes
A strong common theme running through the programme was how the Higher Education sector can adopt AI responsibly, securely, and sustainably while preparing institutional infrastructure, policy, and people for rapid technological change
Across both days, the sessions repeatedly focused on:
- Practical AI implementation — moving from ideas to real-world deployment in universities.
- Security and risk management — protecting data, understanding AI threats, and building resilient systems.
- Ethics, governance, and policy — creating guardrails, ensuring responsible use, and addressing privacy and integrity concerns.
- Infrastructure readiness — adapting networks, compute, storage, and energy use to meet AI demands.
- Sector collaboration and shared learning — open discussions, case studies, and community-driven guidance.
Overall, the programme emphasised AI as both an opportunity and a challenge, requiring thoughtful leadership, robust technical foundations, and collective understanding to shape AI’s role in Higher Education.
My Takeaway
A LOT MORE INFORMED
MANY TOPICS COVERED
WE’RE BEHIND
OTHER INSTITUTIONS ARE WAY AHEAD OF US IMPLEMENTING AI
CONNECTIONS MADE
I NOW HAVE A CONTACT LIST OF PEERS FROM HOSTS, PRESENTORS, VENDORS AND ATTENDEES.
CONFIDENCE BOOSTED
ON A PERSONAL LEVEL THIS CONFERENCE WAS INSTRUMENTAL AT BOOSTING MY CONFIDENCE. I HOPE TO ATTEND FUTURE EVENTS.
