Artificial Intelligence is moving closer to where data is generated — at the network edge. This shift, known as Edge AI, enables real-time decision-making without relying heavily on cloud servers. In Africa, industries like agriculture, manufacturing, logistics, and telecom are rapidly adopting Edge AI solutions to optimize performance and reduce latency. For instance, in smart […]
As the world becomes increasingly connected through Internet of Things (IoT) devices—smartphones, wearables, smart factories, autonomous vehicles, and more—businesses are facing a new data challenge: how to efficiently process massive amounts of data generated at the edge of networks. Enter Edge Computing—a game-changing technology that brings computation and data storage closer to the source of […]
Introduction As businesses continue to demand faster data processing, improved privacy, and real-time decision-making, a new technological frontier is leading the charge: Edge AI. In 2025, this combination of edge computing and artificial intelligence is transforming everything from self-driving cars to industrial automation. Edge AI pushes AI processing closer to where data is generated—on devices […]
In the era of cloud computing, we got used to the idea that all major computation happens in centralized data centers. But in 2025, a new trend is dominating the AI landscape: Edge AI. At i4, we explore why businesses are now running AI models closer to the data source—and how this is reshaping everything […]
In 2025, the fusion of Edge Computing and Artificial Intelligence is revolutionizing how enterprises manage data, automate processes, and deliver real-time insights — all without relying solely on centralized cloud infrastructures. This convergence is empowering industries to reduce latency, improve data security, and enable smarter decision-making at the source of data generation. Why Edge AI […]