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Actionable Benefits
- Compare generative Artificial Intelligence (AI) use cases for telecommunications and build an application strategy that appreciates risks and opportunities.
- Preempt common challenges to generative AI usage, planning in key areas such as data management, cost, security, and implementation.
- Assess market impact and long-term support for network automation.
Research Highlights
- Interpretation of market trends in generative AI as a function of risk.
- Detailed breakdowns of the benefits and challenges of generative AI for the telco network.
- Analysis of AI-based automation in three progressive stages.
Critical Questions Answered
- Which generative AI strategies are gaining traction in telecommunications?
- Should generative AI be developed for network management, or reserved for customer care and business operations?
- What are the main components of a successful telco generative AI strategy—from selecting a model type to data best practices?
- How does generative AI relate to traditional AI in advancing automation?
Who Should Read This?
- Planners within telco organizations forming a generative AI strategy.
- Innovation leaders for Communication Service Providers (CSPs) who need to address the challenges of generative AI implementation.
- Business executives for CSPs who need to calibrate generative AI plans with broader company culture and strategy.
- Decision-makers for organizations that offer telco solutions for generative AI (e.g., platforms, data) to assess opportunities in the network.
Companies Mentioned
