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AI and RAN - How Fast Will They Run?
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¸®¼­Ä¡»ç : Insight Research Corporation
¹ßÇàÀÏ : 2024³â 03¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 169 Pages
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SAMPLE VIEW

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Á¦2Àå AI/ML/DL : ÁÖ¿ä °³³ä ¼³¸í

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  • AT&T Inc
  • Axiata Group Berhad
  • Bharti Airtel
  • China Mobile
  • China Telecom
  • China Unicom
  • CK Hutchison Holdings
  • Deutsche Telekom
  • Etisalat
  • Globe Telecom Inc
  • NTT DoCoMo
  • MTN Group
  • Ooredoo
  • Orange
  • PLDT Inc
  • Rakuten Mobile
  • Reliance Jio
  • Saudi Telecom Company
  • Singtel
  • SK Telecom
  • Softbank
  • Telefonica
  • Telenor
  • Telkomsel
  • T-Mobile US
  • Verizon
  • Viettel Group
  • Vodafone

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This report delves into the intersection of Artificial Intelligence (AI) and Radio Access Network (RAN), shedding light on their evolving relationship and forecasting their future trajectories.

SAMPLE VIEW

Figure 1-1: Progression of revenue shares of AI end-applications in the RAN

Source: Insight Research

In recent years, AI has emerged as a pivotal force driving innovation across industries. The telecom sector, in particular, has witnessed a transformative impact with the integration of AI into RAN architecture. The report explores this synergy, uncovering the dynamics behind their convergence and the implications for the telecommunication landscape.

"At Insight Research, we recognize the seismic shifts occurring within the telecommunications industry, and our latest report elucidates the symbiotic relationship between AI and RAN," remarked Kaustubha Parkhi, Principal Analyst at Insight Research. "We're witnessing a paradigm shift in RAN architecture, with AI playing a pivotal role in driving efficiency, agility, and performance."

Key Highlights from the Report:

With a meticulous breakdown of the market by application, region, and telephony generations, the report offers unparalleled quantitative insights, empowering stakeholders to make informed decisions in a rapidly evolving landscape.

Insight Research's "AI and RAN - How Fast Will They Run?" report is essential reading for telecom operators, technology providers, policymakers, and investors seeking to navigate the evolving landscape of AI-driven telecommunications infrastructure.

Table of Contents

1. Executive Summary

2. AI/ML/DL - Key Concepts Explainer

3. Virtualization of the RAN

4. End-applications for AI in the RAN

5. Vendor Initiatives for AI in the RAN

6. Telco Initiatives for AI in the RAN

7. Quantitative Analysis and Forecasts

Figures & Tables

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