methods to determine the best traffic paths,” Wayne says.“ Over time, AI and machine learning help adapt and improve traffic flow.”
The capability is critical for ultralow latency applications like financial trading, real-time gaming and industrial automation. Each action demands minimal delay and highly stable and predictable network performance, even under shifting conditions or infrastructure failures.
Industry evolution and future outlook Over the next 12 to 18 months, AI adoption in telecommunications will accelerate rapidly, reshaping infrastructure and applications. Wayne highlights three major trends driving this transformation.
First is the rise of agentic AI, systems where multiple AI agents collaborate to solve complex problems.“ We’ re seeing the evolution of AI working with AI to achieve outcomes,” he notes,
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