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Decoding the AI Ecosystem for Telecoms: Value Chain, Players and Telco Opportunities

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  • 33 Pages
  • July 2018
  • Region: Global
  • GlobalData
  • ID: 4605678
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Decoding the AI Ecosystem for Telecoms: Value Chain, Players and Telco Opportunities


"Decoding the AI Ecosystem for Telecoms: Value Chain, Players and Telco Opportunities", a global outlook report, lays out the key artificial intelligence (AI) definitions and underlying technologies, decodes the AI ecosystem & value chain, and summarizes the service use cases that can be harnessed by telcos to transform & produce value.

The report also provides a number of AI value chain positioning options that telcos can consider/assess to drive new revenue streams. It also offers case studies of telcos’ AI implementations in specific network, operations, products, and customer interaction use cases. It analyzes the partnerships involved & the key benefits produced.

Artificial Intelligence (AI) will drive automation and efficiency and power the fourth industrial revolution. Telcos are lining up to harness AI in order to drive digital transformation, efficiency & innovation.

The report is structured as follows:
  • Section 1: Taxonomy & Market Context; an overview of the key AI definitions, technologies, and adoption drivers and inhibitors for telcos. It also discusses national AI strategies, regulations, and security considerations.

  • Section 2: Telecoms AI Ecosystem; a digest of the telecoms AI use cases, an analysis of the AI value chain and an overview of the AI ecosystem players' map. This section also gives and explains a number of AI value chain positioning possibilities for telecom operators to help them yield new revenue streams.

  • Section 3: Case Studies; provides three telecom operators’ AI implementation case studies analyzing the drivers of such moves, the partnerships involved and the deployment models.

  • 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.

  • AI implementation is crucial in driving telcos’ service innovation, improving business agility, and powering 5G & IoT.

  • A number of telcos have already started implementing AI through, for instance, partnerships with vendors and start-ups, JVs, M&As, or through in-house development.

  • Beyond using AI for their own operational, product & customer interactions transformation, telcos can also yield new revenue streams from the AI opportunity by playing a role in the AI value chain.

Reasons to buy
  • This global outlook report provides an extensive examination of the AI ecosystem to help telecom operators harness the technology and related business model levers required for telcos' internal transformation and to help them capture new revenue streams in the AI value chain.

  • The report objective is to help inform global industry executives' decision-making process on the required AI implementation, service and commercial positioning strategies.

  • Three case studies illustrate the findings of the report, providing insights into telecom operators' AI implementations; this will help industry executives understand the drivers and benefits AI can create for them as well as the business & partnership models telcos can adopt to get access and deploy AI capabilities.

  • The report maps the AI ecosystem players' landscape, specifying the players' role in the AI value chain. It also provides a number of value chain positioning options to be considered and assessed by telcos in order for them to play an active role in the AI space and monetize the arising opportunity.

  • With ten exhibits, the report is designed for an executive-level audience, to help them understand and determine the adequate evolution moves for their AI strategies.

Table of Contents

  • Executive Summary

  • Section 1: Taxonomy & Market Context

  • Defining AI

  • AI technologies overview

  • AI adoption for telcos: drivers & inhibitors

  • National AI strategies, regulations, & security considerations

  • Section 2: Telecoms’ AI Ecosystem

  • Telecoms’ AI use cases overview

  • AI value chain - overview

  • AI value chain - focus on the AI building blocks

  • AI ecosystem players

  • Telcos’ potential role in the AI value chain

  • Section 3: Case Studies

  • AI for telcos’ network operations optimization

  • AI for telcos’ customer care automation & improvement

  • AI for telcos’ new revenue streams

  • Section 4: Key Findings & Recommendations

  • Appendix

  • Acronyms and definitions

  • Companies mentioned

  • About the authors

  • Related research

  • Contact information

List of Exhibits
Exhibit 1: AI definitions and key technologies
Exhibit 2: AI technologies’ application examples
Exhibit 3: National AI strategies, regulations, & security initiatives
Exhibit 4: Sample AI application use cases in telecoms
Exhibit 5: AI value chain components
Exhibit 6: Building block AI components
Exhibit 7: AI ecosystem players map
Exhibit 8: Huawei and China Telecom’s VoLTE deployment relationship
Exhibit 9: T-Mobile US and Tupl customer care business relation
Exhibit 10: SKT’s AI-powered Tango OSS platform & AI technologies implemented

Companies Mentioned

A selection of companies mentioned in this report includes:

  • AWS
  • Intel
  • Salesforce
  • IBM
  • Baidu
  • South Korea Telecom
  • Alibaba
  • Qualcomm
  • Tech Mahindra
  • Microsoft
  • Apple
  • Cisco
  • Google Microsoft
  • DialogFlow
  • Magic Leap
  • SAP
  • MindMield
  • Amazon
  • Oracle
  • SoundHound
  • Telefonica
  • Amdocs
  • Softbank
  • Ericsson
  • zestfinance
  • AT&T
  • Netcracker
  • Tupl
  • Verizon
  • QlikView
  • Clarifai
  • T-Mobile
  • Huawei
  • Affirm
  • NBN
  • Nokia
  • Sensetime
  • Swisscom
  • Infosys
  • Orange Business Services
  • nVIDIA
  • Wipro
  • China Telecom