In this conversation, Uche Ogbuji interviews Gift Ojeabulu at PyCon Nigeria 2024 in Lagos. They discuss the importance of data in AI models and the role of Data Community Africa in promoting data-centric AI. Gift Ojeabulu also talks about his work as a sports data scientist and the challenges of incorporating AI into sports analytics. He emphasizes the need for feedback from the community to improve AI products and highlights the importance of software engineering techniques for data scientists. The conversation concludes with a discussion on the DIY ethos and the importance of good engineering in AI development. Data is crucial for AI models, and data-centric AI is essential for accurate results. Data Community Africa is a conference that brings together data practitioners and promotes data-centric AI. Gift Ojeabulu works as a sports data scientist and faces challenges in incorporating AI into sports analytics. Feedback from the community is vital for improving AI products. Data scientists should adopt software engineering techniques for better code quality and reproducibility. The DIY ethos in AI development emphasizes the importance of good engineering and craftsmanship. The Importance of Data in AI Models Challenges in Incorporating AI into Sports Analytics "Garbage in, garbage out. If you don't have good data, your AI model is low below." "Last year we had representation from six different countries." "Feedback is like the fuel of your product from the community." Chapters 00:00 - Introduction and Context 00:59 - The Importance of Good Data in AI Models 02:29 - Data Community Africa: Connecting Data Practitioners 03:58 - The Role of Feedback in Improving AI Products 05:27 - Software Engineering Techniques for Data Scientists 06:01 - The Evolving Landscape of Language Models
