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人工智慧主要趨勢：端側人工智慧、開源投資、數據服務融資等。
市場調查報告書
商品編碼
1386889

人工智慧主要趨勢：端側人工智慧、開源投資、數據服務融資等。

Key Trends in AI: On-device AI, Open-Source Investment, Data Service Funding and More
出版日期: | 出版商: ABI Research | 英文 16 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

這份報告調查了與全球人工智慧相關的主要趨勢，包括邊緣人工智慧的前景和預測、開源和閉源、底層模型的參數化規模、主要創新者和生成式人工智慧實施策略的分析。

報告的優點：

  • 根據關鍵硬體和軟體趨勢制定內部和外部市場策略
  • 根據市場走勢對您的內部能力和資訊傳遞進行基準測試
  • 制定有機和無機人工智慧成長策略，考慮到主要市場領導者的情況
  • 制定反映主要市場趨勢的短期、中期和長期訊息傳遞策略

關鍵問題的答案：

  • 誰是加速邊緣和設備生成式 AI 發展的關鍵創新者？
  • 領先的科技公司如何在 MLOps（機器學習營運）價值鏈中開發 AI 功能？
  • 設備端人工智慧發展如何？ 誰在掌控？
  • 超大規模企業如何避免硬體供應鏈挑戰？
  • 人工智慧的監管環境如何？這對利害關係人意味著什麼？

研究亮點：

  • 軟體、硬體和垂直產業的 13 個主要人工智慧趨勢
  • 多種預測，包括邊緣人工智慧、開源和閉源、底層模型的參數化大小
  • 評估主要趨勢對利害關係人的影響
  • 營運商生成式人工智慧實施策略的詳細分析

目錄

  • 開源與閉源
  • 各大科技公司引進 "客製化" 模式
  • 中美晶片大戰
  • 邊緣人工智慧機遇
  • 生成式 AI 用例
  • 晶片供應商：探索軟體合作夥伴
  • 各大科技公司開發獨特的人工智慧晶片
  • 國際法規
  • 人工智慧資料服務
  • 電信業者的人工智慧活動
  • 通訊生態系支持
  • 企業人工智慧市場進入策略
  • 晶片供應商主導的設備端人工智慧活動
簡介目錄
Product Code: PT-2777

Actionable Benefits:

  • Build internal and external market strategy that builds on key hardware and software trends.
  • Benchmark internal capabilities and messaging against market activity.
  • Build organic and inorganic Artificial Intelligence (AI) growth strategy that considers key market leaders.
  • Develop short, medium, and long-term messaging strategies to reflect key market trends.

Critical Questions Answered:

  • Who are the key innovators accelerating generative AI at the edge and device?
  • How is "big tech" developing AI capabilities across the Machine Learning Operations (MLOps) value chain?
  • How is on-device AI developing and who is leading the charge?
  • How are hyperscalers circumventing the hardware supply chain challenge?
  • What does the AI regulatory landscape look like and what does it mean for stakeholders?

Research Highlights:

  • 13 key AI trends spanning software, hardware, and vertical deployment.
  • Multiple forecasts, including edge AI, open versus closed source, and foundation model parametric size.
  • Evaluation of the impact key trends will have on stakeholders.
  • In-depth breakdown of telco generative AI deployment strategies.

Who Should Read This?

  • IT decision makers looking to build vertical AI deployment strategies.
  • AI supply side strategy executives developing long-term product, marketing, and sales roadmaps, including Original Equipment Manufacturers (OEMs), chip vendors, hyperscalers, and Independent Software Vendors (ISVs).
  • Marketing leaders looking to position their AI messaging effectively to build partnerships and align with customers.
  • Telco strategists looking to identify opportunities and understand how their ecosystem is building on AI.

Table of Contents

  • Open versus Closed Source
  • Big Tech Introduces "Tailored" Models
  • U.S.-China Chip War
  • Edge AI Opportunities
  • Generate AI Use Cases
  • Chip Vendors Find Software Partners
  • Big Tech Building Their Own AI Chips
  • International Regulation
  • AI Data Services
  • Telecoms Industry AI Activity
  • Telco Ecosystem Support
  • Enterprise AI Go-to-Market Strategy
  • Chip Vendor-Led On-Device AI Activity