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商品編碼
1491802
數據/人工智慧/開發平台：研究訂閱Data, AI and Development Platforms Research Subscription |
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簡介目錄
概述
我們分析人工智慧和數據平台供應商的競爭格局，並追蹤影響供應商競爭地位的最新生成式人工智慧（GenAI）價值鏈趨勢。我們也監控企業在引入人工智慧和與利用人工智慧的用例相對應的資料管理技術方面的進展。這些發現是基於廣泛的研究，包括對產品和專業服務供應商和營運商的訪談。
主題：
- 運營商網路中的AI/GenAI部署策略：運營商RAN AI和AIOps部署策略的比較。
- 電信廠商的 GenAI 部署策略：電信廠商 GenAI 部署成熟度分析以及對開放/封閉水準 GenAI 平台供應商的影響。
- 資料架構革命：分析資料架構將如何發展以滿足 GenAI 要求。
我們的服務回答的問題：
- 運營商AI/GenAI網路部署策略：運營商計劃如何將AI技術（GenAI和非GenAI）部署到其RAN環境中？另外，您打算如何使用 AIOps 來管理您現有的網路？
- 電信廠商GenAI實施策略：電信應用供應商如何將GenAI應用到他們的應用中？另外，您打算如何與GenAI平台供應商合作，以滿足營運商對GenAI的核心需求？
- 資料架構革命：營運商如何調整現有的資料策略、架構和實踐來滿足GenAI技術的獨特需求？該戰略將如何擴展以滿足未來的人工智慧和數據需求？
- 數據與人工智慧融合平台策略：利用數據與人工智慧融合平台推動人工智慧相關發展有哪些機會與課題？
- 未來預測：從2024年到2029年，營運商在核心DAD領域的投資將如何演變？
Analysys Mason 的12 個月研究訂閱包括存取我們的專家和數位內容：
簡介目錄
Overview
'The Data, AI and Development Platforms (DAD) research programme' analyses the AI and data platform vendor landscape and tracks changes in the emerging generative AI (GenAI) value chain that affect vendors' competitive positioning. It also monitors operators' progress towards adopting AI and data management technologies that support AI-enabled use cases. Our findings are based on extensive research, including interviews with product and professional services vendors and operators.
Themes:
- Operator AI/GenAI deployment strategies for networks. Comparing operators' RAN AI and AIOps implementation strategies.
- Telecoms vendors' strategies for implementing GenAI. Analysing the level of maturity of telecoms vendors' adoption of GenAI and understanding the implications of this for open and closed horizontal GenAI platform providers.
- Data architecture revolution. Establishing how data architectures will evolve to meet the requirements of GenAI.
Questions answered:
- Operator AI/GenAI deployment strategies for networks. How do operators plan to implement AI technologies (GenAI and non GenAI) within their RAN environments and how do they plan to use AIOps to manage existing networks?
- Telecoms vendors' strategies for implementing GenAI. How do telecoms application providers plan to adopt GenAI within their applications and how do they plan to engage with GenAI platform providers to fulfil operators' core requirements for GenAI?
- Data architecture revolution. How will operators adapt their existing data strategies, architectures and practices to address the unique needs of GenAI technologies. How will these strategies scale to support future AI and data needs?
- Integrated data and AI platform strategies. What are the opportunities and challenges associated with using integrated data and AI platforms to drive AI-related developments?
- Forecasts. How will operators' investments in the core DAD segments evolve between 2024 and 2029?
An Analysys Mason 12-month research subscription includes access to our experts and digital content:
