Generative AI for Telecom: Revolutionizing Connectivity and Customer Experience

Vemula, Anand

  • 出版商: Independently Published
  • 出版日期: 2024-07-15
  • 售價: $1,090
  • 貴賓價: 9.5$1,036
  • 語言: 英文
  • 頁數: 54
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798333169907
  • ISBN-13: 9798333169907
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

"Generative AI for Telecom: Revolutionizing Connectivity and Customer Experience" explores the transformative impact of generative AI technologies on the telecommunications industry. This book delves into how AI-powered solutions are reshaping connectivity and enhancing customer interactions, driving innovation across various facets of telecom operations.

The advent of generative AI has empowered telecom companies to optimize network performance, automate customer service with AI-driven chatbots and virtual assistants, and improve predictive maintenance and fraud detection capabilities. These advancements not only streamline operations but also elevate the overall customer experience by offering personalized services and faster, more reliable connectivity.

Through real-world case studies and examples, the book illustrates how leading telecom providers are leveraging AI to address challenges such as network congestion, data security, and customer satisfaction. It explores the application of AI in enhancing quality of service (QoS), managing network resources more efficiently, and adapting to dynamic market demands.

Furthermore, the ethical considerations of AI adoption in telecom are discussed, emphasizing the importance of data privacy, fairness, and transparency in AI-driven decision-making processes. The book also looks ahead to future trends, including the integration of emerging technologies like edge computing and AI-powered analytics, which promise to further revolutionize the industry.

商品描述(中文翻譯)

《生成式人工智慧在電信業的應用:顛覆連接性與客戶體驗》探討了生成式人工智慧技術對電信產業的變革性影響。本書深入分析了人工智慧驅動的解決方案如何重塑連接性並增強客戶互動,推動電信運營各個方面的創新。

生成式人工智慧的出現使電信公司能夠優化網路性能,利用人工智慧驅動的聊天機器人和虛擬助手自動化客戶服務,並改善預測性維護和詐騙檢測能力。這些進步不僅簡化了運營,還通過提供個性化服務和更快、更可靠的連接性來提升整體客戶體驗。

透過真實案例研究和範例,本書說明了領先的電信供應商如何利用人工智慧應對網路擁塞、數據安全和客戶滿意度等挑戰。它探討了人工智慧在提升服務質量(QoS)、更有效地管理網路資源以及適應動態市場需求方面的應用。

此外,本書還討論了在電信業採用人工智慧的倫理考量,強調數據隱私、公平性和透明度在人工智慧驅動的決策過程中的重要性。本書還展望了未來趨勢,包括邊緣計算和人工智慧驅動的分析等新興技術的整合,這些技術有望進一步顛覆該行業。