利用人工智慧和機器學習實現東南亞的永續成長

該報告探討了東南亞利用人工智慧和機器學習實現永續成長的趨勢，並提供了有關該地區永續發展路線圖和長期舉措、技術趨勢以及人工智慧和機器學習技術在每個行業領域的採用的資訊。

實際好處：

• 瞭解東南亞國家的永續發展路線圖和軌跡
• 瞭解人工智慧和機器學習 (ML) 在永續發展方面的主要用例和應用
• 瞭解可持續發展的人工智慧和機器學習解決方案如何跨行業和國家部署
• 確定東南亞人工智慧永續解決方案市場的關鍵市場、產業和公司

重要問題的答案：

• 東南亞國家的監管路線圖和長期永續發展承諾是什麼？
• 使用人工智慧和機器學習技術來推動跨產業永續成長的現實例子有哪些？
• 該地區有哪些創新公司實施人工智慧驅動的永續發展軟體解決方案？

研究亮點：

• 國際和國家報告法規以及氣候相關標準概述
• 深入分析推動各產業公司永續成長的關鍵人工智慧和機器學習實施。
• 確定人工智慧驅動的可持續發展軟體生態系統中的關鍵參與者

目錄

主要發現

主要預測

東南亞的路線圖和長期舉措

AI軟體生態系統的關鍵參與者

主要技術趨勢

案例研究

用於自動化應用的 AI ML

用於碳管理軟體的 AI ML

用於企業資源規劃的 AI ML

AI ML 促進永續金融

詞彙表

Actionable Benefits:

• Understand sustainability roadmaps and trajectory across countries in Southeast Asia (SEA).
• Understand key Artificial Intelligence (AI) and Machine Learning (ML) use cases and applications for sustainability.
• Understand how AI and ML solutions for sustainability are being implemented across verticals and countries.
• Identify key markets, verticals, and players in the AI-enabled sustainable solutions market within SEA.

Critical Questions Answered:

• What are some of the regulation roadmaps and long-term sustainability commitments across SEA countries?
• What are some examples of real-world implementations of AI and ML technologies driving sustainable growth in the different sectors?
• Who are some of the innovative regional players implementing AI-enabled sustainability software solutions?

Research Highlights:

• Highlights international and domestic reporting regulations and climate standards overview.
• Deep analysis into key AI and ML applications that are driving sustainable growth across various enterprise verticals.
• Identifying leading players in the AI-enabled sustainability software ecosystem.

Who Should Read This?

• Innovation leaders looking to transform their businesses with AI and ML solutions for sustainable growth.
• Key government decision makers looking to develop AI technology roadmaps for their respective countries to drive sustainable growth.
• Technology vendors looking to understand the market opportunity for AI-enabled sustainability software across SEA countries.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Roadmaps and Long-Term Commitments in Southeast Asia

Key Players in the AI Software Ecosystem

Key Technological Trends

Case Studies

AI ML for Automation Applications

AI ML for Carbon Management Software

AI ML for Enterprise Resource Planning

AI ML for Sustainable Finance

Glossary