Data Before AI
Why organisations rushing toward AI still need to solve fundamental data-management problems.
In progressWriting about data, AI, software, technology leadership and the things I discover while building.
Why organisations rushing toward AI still need to solve fundamental data-management problems.
In progressKeeping organisational data within national control: what POPIA, cloud regions and governance controls mean for enterprise AI.
In progressWhat happens when a manager agent coordinates specialist subagents across real product codebases: what works, what breaks and where humans still decide.
In progressA reflection on researching open-weight and commercial AI models, how different assistants communicated their strengths, and why an evaluation should stay evidence-based and even-handed across vendors. Includes how quick research turned into a much deeper feasibility study.
In progressWhy model pricing is only one component of understanding enterprise AI economics.
In progressHow a 370,000-word dictionary becomes a validated daily puzzle calendar, and why every generated pack needs an independent validator.
In progressThe case for taking a traditional African strategy game global, and what it takes to build a serious engine and product around it.
In progressThe infrastructure, governance and operational questions organisations need to consider when evaluating private AI.
In progressHow coding agents are changing the relationship between developers and software.
In progressNothing here yet.
I enjoy conversations around data, artificial intelligence, technology leadership, digital products and the future of enterprise technology.