利用人工智慧和机器学习实现东南亚的永续成长

该报告探讨了东南亚利用人工智慧和机器学习实现永续成长的趋势，并提供了有关该地区永续发展路线图和长期举措、技术趋势以及人工智慧和机器学习技术在每个行业领域的采用的资讯。

实际好处：

• 瞭解东南亚国家的永续发展路线图和轨迹
• 瞭解人工智慧和机器学习 (ML) 在永续发展方面的主要用例和应用
• 瞭解可持续发展的人工智慧和机器学习解决方案如何跨行业和国家部署
• 确定东南亚人工智慧永续解决方案市场的关键市场、产业和公司

重要问题的答案：

• 东南亚国家的监管路线图和长期永续发展承诺是什么？
• 使用人工智慧和机器学习技术来推动跨产业永续成长的现实例子有哪些？
• 该地区有哪些创新公司实施人工智慧驱动的永续发展软体解决方案？

研究亮点：

• 国际和国家报告法规以及气候相关标准概述
• 深入分析推动各产业公司永续成长的关键人工智慧和机器学习实施。
• 确定人工智慧驱动的可持续发展软体生态系统中的关键参与者

目录

主要发现

主要预测

东南亚的路线图和长期举措

AI软体生态系统的关键参与者

主要技术趋势

案例研究

用于自动化应用的 AI ML

用于碳管理软体的 AI ML

用于企业资源规划的 AI ML

AI ML 促进永续金融

词彙表

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