The new era of autonomous systems will require rapid data processing closer to the source. This has some CIOs adding AI at the network edge to their 2025 roadmaps.
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Analysts predict the incoming phase of enterprise AI will herald agentic systems that require minimal human intervention, with 75% of CIOs increasing their AI budgets during this year alone, according to a recent report from Gartner. As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. This is where edge computing comes in.
By processing data closer to the source, edge computingcan enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI. “Edge computing is progressing rapidly, evolving from a promising concept into a critical tool for many industries,” says Theresa Payton, former White House CIO and founder of cybersecurity company Fortalice Solutions. “By 2025, edge computing will become even …