市場調查報告書
商品編碼
1450326
產生人工智慧 (GenAI) 應用於物聯網 (IoT):成長機會Generative Artificial Intelligence (GenAI) Applied for Internet of Things (IoT): Growth Opportunities |
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GenAI 是指用於創建內容的演算法和機器學習模型,包括文字、音訊、圖像、視訊和程式碼。
要成為物聯網的組成部分,任何產品、應用程式或服務都必須是由四個要素組成的更大解決方案的一部分:
隨著連網型設備的激增,資料量呈指數級成長,需要新穎的分析方法來實現這些目標。 GenAI 技術對於釋放物聯網的全部潛力至關重要。利用快速發展的 GenAI 技術增強物聯網對於提供支援 GenAIoT 的工業解決方案至關重要。
GenAI 和物聯網正在徹底改變我們與周圍世界互動的方式。 GenAI 可以直接在邊緣設備(物聯網網路的端點)上訓練和運行模型。這種邊緣人工智慧方法不僅提高了運算效率和資料安全性,還為持續生成不同資料流的智慧型設備和感測器釋放了新的可能性。
本報告涵蓋: :
Integration Enables Efficiency and Problem-solving in Existing Processes and Revenue Generation from Emerging Opportunities
GenAI refers to algorithms and machine learning models used to create content, including text, audio, images, video, and code.
To be a component of the IoT, Frost & Sullivan considers any product, application, or service must be part of a larger solution that comprises these 4 elements:
With increasing connected devices comes exponential growth in data volume, which requires novel means of analysis to achieve goals. GenAI technologies are becoming indispensable in unlocking the complete potential of IoT. Augmenting IoT with rapidly advancing GenAI technologies is crucial to delivering GenAIoT-enabled industry solutions.
GenAI and the IoT are revolutionizing the way we interact with the world around us. GenAI can train and run models directly on edge devices, the endpoints of the IoT network. This edge AI approach not only enhances computational efficiency and data security but also unlocks new possibilities for intelligent devices and sensors that continuously generate diverse data streams.
Frost & Sullivan covers the following in the report: