Tekedia Institute AI Strategy Is Anchored on Localized Data

We recently finalized the Tekedia Institute AI Strategy and our conclusion among other things for our school is this: in the world where companies like OpenAI and Google are aggregating global data, and making all accessible and usable via chatbots like ChatGPT and Gemini, supreme-monetizable data will be data they do not have access to. Simply, the data which these big AI companies do not have access to will be the most precious data going forward for schools.

If that is the case,  overlaying proprietary localized data on AI engines and LLMs will create differentiation and new positioning because in a world of abundance, scarce resources become overly strategic, and people will pay for those resources which include data and knowledge systems. Of course, AI must be used to refine those resources in ways that help students.

Simply, the Tekedia Institute AI Strategy emphasizes the value of proprietary, localized data in the age of large language models like ChatGPT and Gemini. These AI models are trained on vast datasets, making data that is unique and inaccessible to them highly valuable. By leveraging localized and proprietary data and insights, Tekedia Institute will continue to differentiate itself and offer high quality business management and leadership programs.

This strategy is driving our new products including WinGPT. AI will offer a golden era for educational institutions because AI will help personalize learning, and accelerate the effectiveness of faculty. If you are a university with a business school in Africa, our technology can support your mission.

Register for Tekedia Mini-MBA (June 9 – Sept 6, 2025), and join Prof Ndubuisi Ekekwe and our global faculty; click here.