Borneo Nature Foundation, a prominent organisation in wildlife conservation, collaborated with the Business AI Lab research team to enhance biodiversity management in Sabangau National Park. The continuing project aims to improve conservation efforts for a diverse range of wildlife, from dragonflies to orangutans, through the development of a versatile AI application designed to help managers and scientists manage biodiversity. The deliverables included new insights, research publications and AI tools adaptable for various devices such as laptops, iPads, and mobile phones that can be used in the forest and camps in the Sabangau National Park.

This project marks a significant advancement in the field of biodiversity management. The Business AI-driven approach provides a novel way to monitor and protect the diverse wildlife in Sabangau National Park, offering critical insights for conservation efforts. The application's adaptability across different devices ensured broad accessibility, empowering conservationists, researchers, and local communities to participate actively in wildlife protection initiatives. This case study demonstrates the potential of AI in revolutionising biodiversity management, setting a precedent for future conservation projects worldwide.

The project was developed in a phased approach:

Ecosystem Analysis and Data Collection

• Initiated extensive field research to collect comprehensive data on the wildlife and ecological conditions in Sabangau National Park.
• Employed advanced technologies for real-time data capture, focusing on species diversity, habitat conditions, and environmental factors.

AI Model Development and Integration

• Developed human insights and AI models for species identification, behavioural analysis, and ecological monitoring.
• Integrated machine learning algorithms to analyse complex ecological data, enabling accurate predictions and insights into habitat health and species conservation needs.

Stakeholder Engagement and Ethical Considerations

• Conducted workshops and interviews with local communities, conservationists, park managers, and wildlife experts to gather diverse perspectives and insights.
• Ensured ethical considerations in AI deployment, focusing on minimally invasive data collection and respect for natural habitats and local communities.

Business AI Application Design and Development

• Created a user-friendly AI application tailored for conservation efforts, accessible on multiple devices.
• Ensured the application provided real-time insights, data analysis capabilities, and predictive tools for effective wildlife management and conservation strategies.

Pilot Testing and Application Refinement

• Implemented a pilot phase within the park to test the AI application's effectiveness in real-world conditions.
• Incorporated feedback from the pilot phase to refine and optimize the application for field use.

The project delivered a robust, multi-platform AI application, enabling efficient and effective biodiversity management across various wildlife species. The application's capabilities include habitat monitoring, species tracking, and provides actionable insights for conservation.

The project also resulted in a comprehensive research publication detailing the project's methodologies, findings, and the impact of AI on biodiversity management in Sabangau National Park.