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Bertha Kgokong: From Engineer to Business Woman Tati Spotlight
March 9, 2026 Bertha Kgokong CEO

Bertha Kgokong: From Engineer to Business Woman

I would like to share my story about my journey from engineer to business woman. It has been a journey of discovery, exciting and daunting at the same time. Rewarding, but demanding; and every day I learn something new about society, human psychology, and the fabric that weaves it all together into this fascinating tapestry of the human experience. This is not a blog about my technical journey; this is a story about my personal experience on a professional and relational level and all I have learned about the transition from being an employee to being a visionary, goal setter that creates jobs.

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2026 Tech Terms Decoded: Explained by a 2000s Baby Technology
March 3, 2026 Nompilo Kubeka

2026 Tech Terms Decoded: Explained by a 2000s Baby

From fax machines and Nokia “bricks” to AI executives and agentic systems, the journey from the early 2000s to 2026 shows just how dramatically our tech language — and infrastructure — has evolved. What once felt high-tech in South Africa was visible and tangible: payphones, network containers, and dial-up connections. Today, the systems powering our world are invisible, intelligent, and always on. Yet behind terms like generative AI, multi-agent systems, Cloud 3.0, and zero-trust security are familiar ideas — just upgraded. This piece unpacks 2026’s biggest tech buzzwords in simple terms, showing that while the tools have changed, the core ideas remain surprisingly relatable.

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The Goal of Effective AI Deployment Technology
February 24, 2026 Thabang Shongwe

The Goal of Effective AI Deployment

Effective AI deployment isn’t about building impressive models — it’s about delivering reliable, scalable, secure intelligence that drives real outcomes. Many AI initiatives fail not because the technology is flawed, but because deployment is treated as an afterthought. As we learned while building Skhokho AI, success comes from aligning AI with business goals, embedding it into existing workflows, and applying DevOps principles like automation, observability, and infrastructure discipline. AI is not the product — the outcome is. The true goal is intelligence that works in the real world.

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