数据/人工智慧/开发平台:研究订阅
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数据/人工智慧/开发平台:研究订阅

Data, AI and Development Platforms Research Subscription

出版日期: 年间契约型资讯服务 | 出版商: Analysys Mason | 英文

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简介目录

概述

我们分析人工智慧和数据平台供应商的竞争格局,并追踪影响供应商竞争地位的最新生成式人工智慧(GenAI)价值链趋势。我们也监控企业在引入人工智慧和与利用人工智慧的用例相对应的资料管理技术方面的进展。这些发现是基于广泛的研究,包括对产品和专业服务供应商和营运商的访谈。

主题:

  • 运营商网路中的AI/GenAI部署策略:运营商RAN AI和AIOps部署策略的比较。
  • 电信厂商的 GenAI 部署策略:电信厂商 GenAI 部署成熟度分析以及对开放/封闭水准 GenAI 平台供应商的影响。
  • 资料架构革命:分析资料架构将如何发展以满足 GenAI 要求。

我们的服务回答的问题:

  • 运营商AI/GenAI网路部署策略:运营商计划如何将AI技术(GenAI和非GenAI)部署到其RAN环境中?另外,您打算如何使用 AIOps 来管理您现有的网路?
  • 电信厂商GenAI实施策略:电信应用供应商如何将GenAI应用到他们的应用中?另外,您打算如何与GenAI平台供应商合作,以满足营运商对GenAI的核心需求?
  • 资料架构革命:营运商如何调整现有的资料策略、架构和实践来满足GenAI技术的独特需求?该战略将如何扩展以满足未来的人工智慧和数据需求?
  • 数据与人工智慧融合平台策略:利用数据与人工智慧融合平台推动人工智慧相关发展有哪些机会与课题?
  • 未来预测:从2024年到2029年,营运商在核心DAD领域的投资将如何演变?

Analysys Mason 的12 个月研究订阅包括存取我们的专家和数位内容:

简介目录

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: