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

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


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Executive Summary

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

Summary

"Decoding the AI Ecosystem for Telecoms: Value Chain, Players and Telco Opportunities", a global outlook report by GlobalData, 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.

Scope

- 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.



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Table of Contents

Table of Contents 3

List of Exhibits 5

Executive Summary 6

Section 1: Taxonomy & Market Context 7

Defining AI 8

AI technologies overview 9

AI adoption for telcos: drivers & inhibitors 10

National AI strategies, regulations, & security considerations 11

Section 2: Telecoms' AI Ecosystem 12

Telecoms' AI use cases overview 13

AI value chain-overview 14

AI value chain-focus on the AI building blocks 15

AI ecosystem players 16

Telcos' potential role in the AI value chain 17

Section 3: Case Studies 18

AI for telcos' network operations optimization 19

AI for telcos' customer care automation & improvement 20

AI for telcos' new revenue streams 21

Section 4: Key Findings & Recommendations 22

Appendix 23

Acronyms and definitions 24

Companies mentioned 27

About the authors 28

Related research 30

Contact information 33

List of Figures

Exhibit 1: AI definitions and key technologies 8

Exhibit 2: AI technologies' application examples 9

Exhibit 3: National AI strategies, regulations, & security initiatives 11

Exhibit 4: Sample AI application use cases in telecoms 13

Exhibit 5: AI value chain components 14

Exhibit 6: Building block AI components 15

Exhibit 7: AI ecosystem players map 16

Exhibit 8: Huawei and China Telecom's VoLTE deployment relationship 19

Exhibit 9: T-Mobile US and Tupl customer care business relation 20

Exhibit 10: SKT's AI-powered Tango OSS platform & AI technologies implemented 21

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Affirm

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Sensetime

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Artificial Intelligence, AI, AI Telecoms, AI telecom operator, Artificial Intelligence telecoms, Machine Learning, ML, Deep Learning, DL, cognitive computing, neural networks, context-aware computing, predictive modelling, computer vision, conversational platforms, smart robotics, RPA, Robotic Process Automation, fourth industrial revolution, predictive model, behavioral data, recommendation engines, image recognition , predictive maintenance, chatbots, AI virtual assistants, national AI strategy, AI regulations, AI security, AI talent, AI investments, network optimization, network automation, operations automation, operations optimization, SON, SDN, NFV, SD-WAN, personalized marketing, deep customer engagement, AI chipsets, GPUs, TPUs, AI value chain, AI players, AI ecosystem players, AI platform, Data vizualization & exploration, data aggregation, AI development tools, AI frameworks, AI Cloud, Data compilation, AIaaS, AI Customer care, AI customer interaction, AI monetization for telcos, AI telecom operator positionning

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