Computing & Internet      Computer Science

Generative AI for Telecom: Revolutionizing Connectivity and Customer Experience

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Book Details
Language
English
Publishers
Independently published (15 July 2024)
Weight
0.09 KG
Publication Date
15/07/2024
Pages
54 pages
ISBN-13
9798333169907
Dimensions
15.24 x 0.33 x 22.86 cm
SKU
9798333169907
Author Name
Anand Vemula (Author)
Anand Vemula is a technology, business, ESG and Risk governance Evangelist. He has more than 27 plus years of experience. Has worked in MNC at a CXO level. Has been a part of various projects and forums across customers in BFSI, Healthcare, Retail, Manufacuring, Lifesciences, Energy Industry Verticals. Certified in all the technologies and Enterprise Digital ArchitectRead more about this authorRead less about this author
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"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.

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