The sixth edition of the Data Science Nigeria (DSN) annual Artificial Intelligence (AI) Bootcamp recently took place in Lagos, Nigeria.
Serving as a platform for youth to undergo training that equips them with the requisite skills to solve complex problems using data-driven approaches, the weeklong boothcamp marked a significant milestone in the journey to build Africa’s capacity in advanced machine and deep learning concepts, driving the application of AI for socio-economic development.
The annual bootcamp involves a journey where participants engage in a Hackathon. Chosen contenders advance to a 6-day bootcamp, and this year, it spanned from Monday, August 14, culminating in the hybrid event’s grand finale on August 19.
The intensive learning experience is an all-expenses-paid opportunity that aims to empower the youth with the tools they need to excel in the rapidly evolving field of data science and AI.
At its core, the DSN AI Bootcamp is part of a larger vision aimed at accelerating Africa’s development through solution-oriented applications of machine learning. The goal is to address both social and business challenges while fostering technological innovation, employability, and sustainable socio-economic growth.
The overarching mission of Data Science Nigeria is to train one million AI talents over the next decade, creating a knowledge revolution and propelling Africa onto the global stage of AI innovation.
Panel Session: Insights from Industry Experts
The program commenced with a panel session featuring distinguished experts in the field, including Toyosi Odukoya, Director of Program Operations and Planning at the Mastercard Foundation, and Emeka Azuka Okoye, Senior Knowledge Engineer and Semantic Architect at Cymantiks Nigeria and Land Portal Foundation Netherlands.
The discussion began with insights into the most in-demand skills for data science and AI professionals.
Toyosi Odukoya emphasized the importance of problem-solving skills. While technical competencies such as machine learning are vital, she stressed that the ability to apply those skills to real-world problems is what truly sets data scientists apart.
She shared examples of how even the most technically adept individuals struggle when it comes to translating their knowledge into practical solutions.
The conversation shifted to using data science and AI to tackle significant challenges. Emeka Azuka Okoye delved into the concept of digital transformation as a catalyst for solving complex problems.
He highlighted the need for collaboration and knowledge sharing, stressing that data from various sources, including governments, is key to unlocking solutions.
Emeka’s passionate advocacy for open data and data modeling illuminated the audience on the power of applying data-driven insights to reshape industries and economies.
Standing Out in the Competitive Landscape
Addressing job seekers and professionals alike, the panelists shared valuable strategies for staying competitive.
Odukoya highlighted the importance of documenting achievements and building a robust portfolio through voluntary initiatives and projects.
On the other hand, Okoye emphasized the significance of mastering a niche domain, writing blog posts or papers to showcase expertise, and actively participating in industry events and conferences. Both experts encouraged continuous learning and networking as vital components for staying relevant in the dynamic fields of data science and AI.
Advancing AI: Insights from Emeka Azuka Okoye
A highlight of the event was a presentation by Emeka Azuka Okoye, titled: ‘Large Models, Knowledge Graph and Retrieval-Augmented Generation’.
His presentation shed light on two distinct approaches to building AI systems: Machine Learning and Semantic Reasoning. These approaches, when integrated effectively, hold the potential for large-scale integration and model-driven intelligence.
The presentation delved into the evolution of AI across different levels, the role of language models and knowledge graphs, and the game-changing concept of Retrieval-Augmented Generation.
In conclusion, Okoye highlighted the synergy between Language Models and Knowledge Graphs, unveiling a new realm of AI possibilities. From virtual assistants to recommendation systems, the integration of these technologies is reshaping the way AI systems understand and interact with the world. As AI continues to evolve, these concepts will undoubtedly play a pivotal role in shaping the future of technology.
As the sun sets on another successful DSN AI bootcamp, the path forward is illuminated by the passion and determination of Africa’s youth.
With insights from industry experts and a comprehensive learning experience, these young talents are set to shape the future of data science and AI on the continent.
The fusion of technology and innovation continues to unfold with Africa’s potential of being a global hub for AI innovation getting closer than ever.
Author
