BSS/OSS AI转型营运商策略制定

该报告研究了营运商的BSS/OSS人工智慧转型策略，包括营运商后台的人工智慧用例，将开发和部署策略与人工智慧领导者的最佳实践进行比较，并确定了关键的关键。我们为电信业者编制了人工智慧合作伙伴的竞争分析。

实际效益

• 识别并探索运营商后台的人工智慧用例
• 深入了解企业人工智慧的现况与部署痛点
• 将您的内部开发和部署策略与最佳实践人工智慧领导者进行比较
• 了解您的合作伙伴生态系统并制定您的策略

关键问题的答案：

• 生成式人工智慧可以在后台支援哪些用例？
• 为什么后台用例有希望？
• 营运商的AI部署策略该如何完善？
• 营运商实施人工智慧的主要挑战是什么以及如何克服这些挑战？
• 谁是运营商AI的领导者？您是如何建构内部能力的？

研究亮点：

• 营运商AI实施详细评估
• 主要营运商人工智慧领导者的策略细分
• 后台人工智慧实施机会评估
• 各大业者AI合作伙伴竞品分析
• 评估营运商的内部部署策略

Actionable Benefits:

• Identify and explore Artificial Intelligence (AI) use cases in the telco back office.
• Gain insight into the current state of enterprise AI and deployment pain points.
• Compare internal development and deployment strategies with best practice AI leaders.
• Understand partner ecosystem and develop strategy.

Critical Questions Answered:

• What use cases can generative AI support in the back office?
• Why are back-office use cases low-hanging fruits?
• How should telco AI deployment strategies be improved?
• What are the main challenges for telco AI adoption and how can these be overcome?
• Who are the leaders in telco AI and how have they built their internal capabilities?

Research Highlights:

• Granular assessment for telco AI deployment.
• Strategic breakdown of key telco AI leaders.
• Opportunity assessment for AI deployment in the back office.
• Competitive analysis of key telco AI partners.
• Evaluation of telco internal deployment strategies.

Who Should Read This?

• Telco executives, strategists, and technologists looking to understand and define the approach to AI in the back office.
• Partnership leaders in Operations Support System (OSS)/Business Support System (BSS) vendors, hyperscalers, and AI Independent Software Vendors (ISVs).
• System integrators and consultants looking to develop telco AI value proposition.
• Innovation leaders looking to position emerging products to build verticalized monetization strategies.