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Is cloud technology changing security of distributed data processing in AI? – by Aditya Abeysinghe Distributed data processing (DDP) is a data processing methodology where data processing capabilities are spread across a network. In distributed data processing, tasks, functions and processes can be distributed such that they are invoked, shared or resumed in parallel. Each node of a DDP can process some or most of the functions of a task. These nodes: servers or any other device that can process a task, are connected using a network which may be within the same region or within multiple regions. Why is DDP used in Artificial Intelligence services? Artificial Intelligence (AI) is a field which often uses algorithms which require heavy computational and storage power to process data. Many businesses which can afford such computational power often distribute AI processes in distributed nodes. By distributing in a DDP processes can be efficiently managed ...