01
Re-Architecting Software to be AI-Native
- Audience:
- Architects, engineering leaders, senior developers
- Formats:
- Masterclass · Keynote · Workshop
Proposed topic
Adding a model to an existing application is easy; designing a system around AI is not. This session looks at where AI belongs in an architecture, how to define its boundaries and contracts, how to evaluate and observe its behaviour, and how to keep people accountable for the outcomes.
02
Cross-Platform Software Architecture with .NET MAUI and Blazor Hybrid
- Audience:
- Developers, technical leads, students
- Formats:
- Technical talk · Workshop · Guest lecture
Proposed topic
How to build for the web, Android, iOS, Windows and macOS from one codebase without the codebase collapsing under it: shared cores, platform services behind interfaces, adaptive layouts and testing on real devices. Drawn from the book Cross-Platform Powerhouse.
03
Digital Sovereignty and the Future of Digital States
- Audience:
- Policymakers, public-sector leaders, researchers, general audiences
- Formats:
- Keynote · Panel · Lecture
Proposed topic
What it means for a country to depend on technology it cannot control, and what it would take to change that — infrastructure, open source, procurement, skills and institutions. An African argument with relevance well beyond the continent.
04
AI Governance and Digital Infrastructure
- Audience:
- Executives, regulators, governance and risk professionals
- Formats:
- Keynote · Panel · Executive briefing
Proposed topic
AI governance is usually discussed as a matter of principles. In practice it depends on infrastructure: where data is held, which platforms systems rely on, and who can audit them. This talk connects policy frameworks such as POPIA to the engineering decisions that make them enforceable.
05
Technology Entrepreneurship and Digital Transformation
- Audience:
- Founders, students, business leaders
- Formats:
- Talk · Fireside conversation · Podcast
Proposed topic
Lessons from building a South African technology company: choosing problems worth solving locally, owning your data and infrastructure from the start, and why ecosystems — not individual startups — are what compound.