ReGenerative AI: How AI is Transforming Net Zero Ambitions into Reality

 

Delivered at the Singapore FinTech Festival, this session explored how regenerative AI is enabling the transition to net zero by addressing sustainability challenges through innovation, collaboration, and responsible AI deployment.

Key Highlights

1. AI in Sustainable Financing

  • Commitment to Sustainability:
    • Maybank is mobilising RM 80 billion in sustainable financing by 2025, with a strong focus on ASEAN.
    • Leveraging AI for real-time carbon footprint tracking and risk assessment to guide clients toward decarbonisation.

  • Improving Financial Decision-Making:
    • AI enables predictive modeling to assess long-term environmental risks, such as weather changes or property risks near coastlines.


2. AI-Powered Agriculture for Climate Resilience

  • Climate Solutions:
    • ADAPTA’s AI tools, like the Agribot, provide actionable insights for farmers and lenders to improve soil health and crop productivity.
    • Risk assessment models enable banks to fund more sustainable agricultural practices.
  • Tackling Food Security and Greenhouse Emissions:
    • AI addresses the nexus of agriculture and climate change, helping balance increased food production with reduced environmental impact.


3. Advanced ESG Monitoring and Analytics

  • AI Innovations:
    • ST Engineering’s Satellite Imaging for Precision Agriculture: Identifies tree counts, soil nutrients, and land use to optimize farming and green financing.
    • AI-Driven ESG Scoring: Combines emissions data, social media sentiment, and regulatory compliance to prioritize sustainable projects.
    • AI Copilot for Cybersecurity: Enhances operational efficiency in Security Operations Centres while aligning with ESG goals.


4. Data Accessibility for SMEs

  • Partnership:
    • Ekimetrics and Gprnt co-developed an AI-enabled ESG data lake to simplify carbon measurement and reporting for SMEs.
    • Tools like Climate Q&A democratize access to reliable climate data, empowering smaller organisations to adopt sustainable practices.


5. Responsible AI Deployment

  • Sustainability vs. Efficiency in AI Use:
    • Awareness of AI’s energy consumption (e.g., large language models like ChatGPT) is critical for responsible technology deployment.
    • Emphasis on using AI selectively and integrating sustainability into the development of technology solutions.


Conclusion
Collaboration and accountability are essential to achieving ambitious net zero goals. Regenerative AI plays a transformative role in addressing climate challenges through predictive analytics, efficient resource utilisation, and accessible data platforms. However, stakeholders must commit to responsible AI usage and align their efforts for scalable, sustainable impact.

 

Watch Full Session

 

Speakers:

  • Annie Ong, General Manager, Enterprise Digital, ST Engineering
  • German Vegarra, Founder & Chief Executive Officer, ADAPTA Inc.
    Helena Ooi, Head of Strategy, Maybank Singapore
  • Olivier Kuziner, Managing Partner, Ekimetrics

Moderator:

  • Syam Nair, Chief Technology Officer, Gprnt

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