How to Start Being An Analyst...
Hi Fellow Analysts In this episode, we explore the noticeable absence of African-based AI tools for data analysis despite global advancements. We discuss key reasons such as limited resources, infrastructure challenges, talent shortages, and the necessity for localised AI solutions that address Africa's unique socio-economic and environmental contexts. Dr Mark Nasila, in his book "African Artificial Intelligence," emphasises the importance of developing tailored AI solutions for Africa's specific needs, showcasing various use cases across multiple industries and advocating for ethical, inclusive, and strategically implemented AI. We also touch on the debate of whether Africa should focus on the Third Industrial Revolution (industrialisation) or embrace the Fourth (AI and digital technologies). While industrialisation can provide immediate job creation, integrating AI and digital technologies can future-proof Africa's economy, driving innovation and long-term sustainable growth. Join us for an insightful discussion on how Africa can balance these approaches to leverage both immediate and future opportunities and test your knowledge with our engaging quiz! If you love insights like this, consider subscribing to our bi-weekly newsletter and WhatsApp group for daily insights or purchase our books on Amazon to grow the community • Subscribe via Email: https://newsletter.beingananalyst.co.za/ [https://newsletter.beingananalyst.co.za/] • Join Analyst Chat on WhatsApp: [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn]] • Books on Amazon: [https://amzn.to/4d6bX0K [https://amzn.to/4d6bX0K]] This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends
45 episodes
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