AI Use Cases for Telcos: smart customer interactions, overview, Executive Summary and Customer Interactions

Posted on 2019-02-27 by Mark Hub in Technology // 0 Comments

Albany, US, 2019-Feb-27 — /EPR Network/ —Market Research Hub (MRH) has recently broadcasted a new study to its broad research portfolio, which is titled as AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions provides an in-depth analysis of the AI Use Cases for Telcos with the forecast of market size and growth. The analysis includes addressable market, market by volume, market share by business type and by segment (external and in-house).The research study examines the AI Use Cases for Telcos on the basis of a number of criteria, such as the product type, application, and its geographical presence.

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AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions

Summary

“AI Use Cases for Telcos: Networks & Operations, Products & Services, and Customer Interactions”, a global outlook report by GlobalData, deep dives into the possible use cases that AI makes available for telcom operators to turn into smart digital service providers & produce value.

Artificial intelligence (AI) along with its set of available technologies will be the cornerstone powering internal and external digital transformation for telcos. A multitude of AI use cases in several consumer, enterprise and corporate areas are possible for telcos.

The report is structured as follows –
– Section 1: Taxonomy & Market Context; offers an overview of the key AI definitions, technologies, and value chain.
– Section 2: Telecoms AI Use Cases; maps out the telecoms AI application areas. It then offers a series of examples of telcos AI implementations in networks & operations, products & services, and customer interactions & knowledge.
– Section 3: Case Studies; offers two telco case studies focusing on AI for predictive industrial maintenance and autonomous telecom networks. It analyzes the partnerships involved, the service features, and the benefits generated.
– Section 4: Findings and recommendations; we conclude the report with a set of key findings and recommendations for telecom operators to help them harness the benefits of AI and drive new revenue streams.

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Scope

– Telcos need to augment their products and services with AI for more personalization and on-demand flexibility.
– AI is key to helping telcos optimize their networks and automate their network operations.
– Telco customer interaction touchpoints & channels are also benefitting from AI.

Table of Contents

List of Exhibits
Executive Summary
Section 1: Taxonomy & Market Context
Defining AI
AI technologies overview
AI value chain – overview
Section 2: Telecoms’ AI Use Cases
Telecoms AI use cases overview
Telecoms’ AI use cases – network optimization & operations automation
Telecoms’ AI use cases – AI-powered products & services
Telecoms’ AI use cases – smart customer interactions & knowledge
Section 3: Case Studies
AI for offering predictive maintenance
AI for autonomous & self-driving networks
Section 4: Key Findings & Recommendations
Appendix
Acronyms and definitions
Companies mentioned
Related research
Contact information

More Information………@@@

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