'Use new tech to manage growing waste production'

Full Article

Integrating big data and artificial intelligence into waste management can significantly improve efficiency. Environmental consultant Joel Lawrence Jayasunthar emphasizes the need for innovative solutions to address the increasing waste generated by a growing population. AI technology can trace and monitor waste from generation to treatment, reducing reliance on landfills.

The article highlights the potential for Malaysia to lead in global waste management through the adoption of advanced technologies. Local councils are encouraged to create designated areas for waste management in industrial parks, ensuring that hazardous waste is properly handled. Collaboration among government, private sectors, and NGOs is essential for sustainable waste management practices.

• AI can enhance waste management efficiency and traceability.

• Collaboration is crucial for sustainable waste management solutions.

Key AI Terms Mentioned in this Article

Artificial Intelligence

AI is proposed to improve waste management by enabling better tracking and monitoring of waste processes.

Big Data

The integration of big data in waste management can help optimize processes and reduce waste generation.

Cradle-to-Cradle

This concept is advocated to ensure that products are designed for recycling and reuse, minimizing waste.

Companies Mentioned in this Article

Green Earth Society

The society's adviser, Joel Lawrence Jayasunthar, emphasizes the role of innovative technologies in waste management.

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