AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3]
合作建立在雙方超過十年的合作基礎上,AWS 將從單純的託管平台升級為 AVEVA 工業軟體生態系的核心雲端基礎。[6][7]
透過 Amazon Bedrock、EC2 與 AWS Marketplace 等服務,目標是讓企業更容易整合工業數據、部署 AI 應用並縮短導入時間與成本。[1]
How does the new multi-year Strategic Collaboration Agreement between AVEVA and AWS expand their decade-long partnership, what role will AWSAVEVA and AWS aim to combine industrial software, cloud infrastructure, and generative AI to accelerate industrial intelligence in the cloud.
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Create a landscape editorial hero image for this Studio Global article: How does the new multi-year Strategic Collaboration Agreement between AVEVA and AWS expand their decade-long partnership, what role will AWS. Article summary: The new AVEVA–AWS multi-year Strategic Collaboration Agreement turns a long-running cloud relationship into a broader go-to-market and product-engineering push for industrial intelligence in the cloud. It is meant to bri. Topic tags: general, general web. Reference image context from search candidates: Reference image 1: visual subject "## News Releases Overview. ## Multimedia Gallery Overview. ## Auto & Transportation Overview. ## View All Auto & Transportation. ## Business Technology Overview. ## Business Techno" source context "AVEVA and Amazon Web Services Announce Multi-Year Strategic Collaboration to Accelerate Industrial Intelligence in the C" Reference
openai.com
2026 年 5 月,工業軟體公司 AVEVA 與 Amazon Web Services(AWS) 宣布簽署新的多年期策略合作協議(Strategic Collaboration Agreement,SCA),希望加速工業企業將營運與資料移轉到雲端。這項合作建立在雙方超過十年的技術合作基礎上,並以 AVEVA CONNECT 工業智慧平台 與 AWS 的雲端與 AI 服務為核心。
合作的目標很直接:把工業設備與營運所產生的大量資料轉化為可分析、可行動的智慧,幫助企業更有效率地設計、運營與優化工業資產,同時降低 IT 複雜度與成本。
AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3]
最值得優先驗證的重點是什麼?
AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3] 合作建立在雙方超過十年的合作基礎上,AWS 將從單純的託管平台升級為 AVEVA 工業軟體生態系的核心雲端基礎。[6][7]
接下來在實務上該怎麼做?
透過 Amazon Bedrock、EC2 與 AWS Marketplace 等服務,目標是讓企業更容易整合工業數據、部署 AI 應用並縮短導入時間與成本。[1]
AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3]
合作建立在雙方超過十年的合作基礎上,AWS 將從單純的託管平台升級為 AVEVA 工業軟體生態系的核心雲端基礎。[6][7]
透過 Amazon Bedrock、EC2 與 AWS Marketplace 等服務,目標是讓企業更容易整合工業數據、部署 AI 應用並縮短導入時間與成本。[1]
How does the new multi-year Strategic Collaboration Agreement between AVEVA and AWS expand their decade-long partnership, what role will AWSAVEVA and AWS aim to combine industrial software, cloud infrastructure, and generative AI to accelerate industrial intelligence in the cloud.
AI 提示詞
Create a landscape editorial hero image for this Studio Global article: How does the new multi-year Strategic Collaboration Agreement between AVEVA and AWS expand their decade-long partnership, what role will AWS. Article summary: The new AVEVA–AWS multi-year Strategic Collaboration Agreement turns a long-running cloud relationship into a broader go-to-market and product-engineering push for industrial intelligence in the cloud. It is meant to bri. Topic tags: general, general web. Reference image context from search candidates: Reference image 1: visual subject "## News Releases Overview. ## Multimedia Gallery Overview. ## Auto & Transportation Overview. ## View All Auto & Transportation. ## Business Technology Overview. ## Business Techno" source context "AVEVA and Amazon Web Services Announce Multi-Year Strategic Collaboration to Accelerate Industrial Intelligence in the C" Reference
openai.com
2026 年 5 月,工業軟體公司 AVEVA 與 Amazon Web Services(AWS) 宣布簽署新的多年期策略合作協議(Strategic Collaboration Agreement,SCA),希望加速工業企業將營運與資料移轉到雲端。這項合作建立在雙方超過十年的技術合作基礎上,並以 AVEVA CONNECT 工業智慧平台 與 AWS 的雲端與 AI 服務為核心。
合作的目標很直接:把工業設備與營運所產生的大量資料轉化為可分析、可行動的智慧,幫助企業更有效率地設計、運營與優化工業資產,同時降低 IT 複雜度與成本。
AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3]
最值得優先驗證的重點是什麼?
AVEVA 與 AWS 在 2026 年 5 月簽署多年期策略合作協議,將 AVEVA 的 CONNECT 工業智慧平台擴展到 AWS 雲端,並結合生成式 AI 與雲端基礎設施。[1][3] 合作建立在雙方超過十年的合作基礎上,AWS 將從單純的託管平台升級為 AVEVA 工業軟體生態系的核心雲端基礎。[6][7]
接下來在實務上該怎麼做?
透過 Amazon Bedrock、EC2 與 AWS Marketplace 等服務,目標是讓企業更容易整合工業數據、部署 AI 應用並縮短導入時間與成本。[1]