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The End of Cloud Computing

Peter Levine

The event forecasts the obsolescence of centralized cloud computing in favor of edge intelligence, where autonomous devices like self-driving cars and drones become decentralized data centers to ensure real-time processing speed. This architectural shift redefines the cloud as a model training hub that aggregates data from trillions of sensors to update local machine learning algorithms through a continuous feedback loop. Consequently, the industry faces a massive market expansion into distributed IoT ecosystems, driving a fundamental transformation in programming languages, supply chain economics, and the operational roles of IT leaders.