The State of MLOps in African Technology Companies
African tech companies are maturing their machine learning operations, adopting feature stores, model registries, and automated retraining pipelines.
Every story filed on the Enterprise AI desk — engineering analysis, policy scrutiny and field reporting on how artificial intelligence is built, funded and governed across Africa.
African tech companies are maturing their machine learning operations, adopting feature stores, model registries, and automated retraining pipelines.
A use case with a compelling business case and unreliable data is not ready. A use case with clean data and no realistic path to adoption is not ready either, s
Data sovereignty concerns and latency requirements are driving African enterprises to train and host their own AI models rather than relying on US-based API providers.
A new global benchmark reveals a widening gap between cyber security investment and operational readiness as AI accelerates the speed of attack and defence.
New survey data reveals how African enterprises are allocating their AI budgets, with cloud compute, talent, and data infrastructure claiming the largest shares.
African banks are using AI chatbots and virtual assistants to serve millions of customers in local languages, reducing wait times and operational costs simultaneously.
SA's cloud market is set to double by 2029, but CFOs face dollar-denominated costs and rand volatility.
From Lagos to Nairobi, enterprises are moving past proof-of-concept and running large language models in real production workloads. Here is what their engineering teams have learned.
While AI is expected to take over many routine call centre tasks, experts believe it won't eliminate the need for certain human skills.
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