AI and Big Data Analytics in Telecoms: Telco Use Cases and Monetization Strategies

AI and Big Data Analytics in Telecoms: Telco Use Cases and Monetization Strategies

Summary

AI and Big Data Analytics in Telecoms: Telco Use Cases and Monetization Strategies, a global outlook report, lays out the key big data analytics (BDA) and artificial intelligence (AI) definitions and underlying technologies, decodes the BDA & AI players' ecosystem map and value chain, and summarizes the service use cases that can be harnessed by telcos to transform and produce value.

The report provides several BDA & AI value chain positioning options that telcos can adopt to drive new revenue streams. It also includes selected countries’ frameworks on data governance. The report concludes by offering two case studies of telcos’ BDA & AI implementations, solutions, and partnerships.

BDA and AI are key pillars of the fourth industrial revolution. Telcos are joining the BDA and AI race to drive digital transformation, personalized services, internal efficiency and innovation.

The report is structured as follows -
Section 1: Taxonomy & Market Context; an overview of the key BDA & AI definitions and technologies for telcos. It also discusses national BDA & AI strategies, regulations, and security considerations.
Section 2: The AI and Big Data Analytics Ecosystem; a digest of the telecoms BDA & AI use cases, an analysis of the BDA & AI value chain and an overview of the BDA & AI ecosystem players' map. This section also gives and explains a number of BDA & AI value chain positioning possibilities for telecom operators to help them yield new revenue streams.
Section 3: Case Studies; provides two telecom operators’ BDA & AI implementation case studies analyzing the drivers of such moves, the partnerships involved and the related solution portfolios.
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 BDA & AI and drive new revenue streams.

Scope

• BDA & AI implementation is crucial in driving telcos’ service innovation, deepening customer engagement, improving business agility, and powering 5G & IoT.
• A number of telcos have already started implementing BDA & AI through, for instance, partnerships, JVs, M&As, or through in-house development.
• Beyond using BDA & AI for their own operational, product, & customer interaction transformation, telcos can also yield new revenue streams from the BDA & AI opportunity by playing a role in the AI value chain. A number of positioning and monetization options are available to them.

Reasons to buy

• This global outlook report provides an extensive examination of the BDA & AI ecosystem to help telecom operators harness both technologies and related business model levers required for telcos' internal transformation and to help them capture new revenue streams in the BDA & AI value chain.
• The report objective is to help inform global industry executives' decision-making process on the required BDA & AI implementation, service and commercial positioning strategies.
• Two case studies illustrate the findings of the report, providing insights into telecom operators' BDA & AI implementations and solution portfolios; this will help industry executives understand the drivers and benefits BDA & AI can create for them as well as the business & partnership models telcos can adopt to get access and deploy BDA & AI capabilities.
• The report maps the BDA & AI ecosystem players' landscape, specifying the players' role in the BDA & 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 BDA & AI space and monetize the arising opportunity.
• With 11 exhibits, the report is designed for an executive-level audience, to help them understand and determine the adequate evolution moves for their BDA & AI strategies.