How shared standards and enterprise architecture can make higher education more interoperable and AI-ready

From Fragmented Data To Connected Institutions: How shared standards and enterprise architecture can make higher education more interoperable and AI-ready

Higher education institutions across Australia are working with increasingly complex technology landscapes, fragmented data, and inconsistent definitions across systems and departments.

Join MortarCAPS and Orbus Software for a practical conversation about how shared standards, enterprise architecture, and vendor collaboration can help create more connected, trusted, and AI-ready institutions.

You will learn how to move beyond interoperability as a principle and turn it into practical transformation outcomes.

Why attend?

Fragmented data makes it harder for institutions to understand their operations, make informed decisions, improve student and staff experiences, and prepare for AI.

This webinar will explore how higher education leaders can create a stronger foundation for transformation by connecting:

• Shared sector standards

• Institutional data and systems

• Enterprise architecture

• Business and technology strategy

• AI readiness and responsible adoption

Whether your institution is beginning its journey or looking to scale existing transformation initiatives, this session will offer practical ideas you can apply in your own environment.

What we will discuss:

Why fragmented data is holding higher education back

Explore how disconnected systems, inconsistent terminology, and siloed information create barriers to collaboration, reporting, transformation, and innovation.

What a sector-owned data standard facilitates

Understand how shared standards developed with the sector can create a common language while reducing duplication and improving the quality and consistency of institutional data.

The role of enterprise architecture in making standards actionable

See how enterprise architecture helps connect standards to real systems, capabilities, processes, applications, and strategic priorities.

Interoperability without losing institutional context

Learn how institutions can adopt common standards while preserving the distinctive structures, priorities, and operating models that make each university unique.

From data alignment to better transformation outcomes

Explore how connected information can support better investment decisions, reduce unnecessary duplication, improve visibility, and help institutions prioritise transformation initiatives.

Preparing higher education for AI

Discuss why trusted, accessible, well-governed data is essential for responsible AI adoption and how architecture can help institutions understand their readiness.

You will leave with practical insight into how to:

• Create a shared view of institutional information and technology

• Make sector standards useful in day-to-day decision-making

• Connect enterprise architecture to transformation planning

• Improve visibility across systems, processes, and capabilities

• Identify the foundations required for responsible AI adoption

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