동남아시아에서 지속적 성장을 위한 AI와 ML의 활용

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