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AI in the Telecom Industry

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"AI in the Telecom Industry"

The white paper also introduces the future of personal connectivity devices, such as a wearable digital assistant, and examines the new AI-based chips designed to bring these technologies to fruition.

This white paper discusses the telecommunication industry’s growing use of AI, including the ways in which:

  • AI-based network automation improves efficiency, reliability and customer service, and opens up new customer markets.
  • Data integrity techniques like explainability and automated security help ensure AI systems are trustworthy.
  • Refined AI modeling through digital twins, reinforcement learning and machine reasoning leads to more capable AI systems.
  • AI optimization reduces costs through efficient processes, optimal designs and improved energy efficiency.
  • AI is addressing challenges such as integrating AI with legacy systems, building hybrid networks and handling varied frequency bands.

The white paper also introduces the future of personal connectivity devices, such as a wearable digital assistant, and examines the new AI-based chips designed to bring these technologies to fruition. It concludes with a discussion of how AI is enabling a modern phased design approach with continuous feedback loops, reducing costly redesigns and bottlenecks.


Offered Free by: IEEE
See All Resources from: IEEE

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