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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
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