BSS/OSS AI轉型營運商策略制定

該報告研究了營運商的BSS/OSS人工智慧轉型策略，包括營運商後台的人工智慧用例，將開發和部署策略與人工智慧領導者的最佳實踐進行比較，並確定了關鍵的關鍵。我們為電信業者編制了人工智慧合作夥伴的競爭分析。

實際效益

• 識別並探索運營商後台的人工智慧用例
• 深入了解企業人工智慧的現況與部署痛點
• 將您的內部開發和部署策略與最佳實踐人工智慧領導者進行比較
• 了解您的合作夥伴生態系統並制定您的策略

關鍵問題的答案：

• 生成式人工智慧可以在後台支援哪些用例？
• 為什麼後台用例有希望？
• 營運商的AI部署策略該如何完善？
• 營運商實施人工智慧的主要挑戰是什麼以及如何克服這些挑戰？
• 誰是運營商AI的領導者？您是如何建構內部能力的？

研究亮點：

• 營運商AI實施詳細評估
• 主要營運商人工智慧領導者的策略細分
• 後台人工智慧實施機會評估
• 各大業者AI合作夥伴競品分析
• 評估營運商的內部部署策略

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.