Applied AI
Discovering AI use cases that are transforming industries in Malaysia
NAIO will promote the practical application of AI across sectors, focusing on solving real-world challenges. By encouraging innovation and collaboration, it aims to enhance productivity, drive economic growth, and ensure AI benefits are widely accessible and ethically deployed.
The following examples are real-life examples of AI that has been developed and deployed in Malaysia. We look forward to developing further partnerships and collaborations to deploy AI for the benefit of all Malaysians. If you would like to partner and collaborate with NAIO, contact us.
Healthcare
AI-Driven Advancements in Healthcare Diagnostics
- Faster, More Accurate Diagnostics: AI enables quicker, more precise disease detection, reducing errors in pathology reports.
- Improved Efficiency: Streamlines workflows, freeing up medical staff to focus on critical cases.
- Cost and Time Savings: Reduces diagnostic turnaround times by 50% and operational costs by up to 30%.
- Enhanced Productivity: Automation boosts staff productivity and responsiveness in healthcare settings.
- Better Patient Care: Faster diagnoses lead to timely treatments, improving overall patient outcomes.
Revolutionising Healthcare with AI
- Time-Saving Documentation: AI automates medical documentation, freeing up more time for patient care.
- Multilingual Support: Enables communication with diverse patients by supporting multiple languages and specialties.
- Seamless Integration: Works with EMR systems to streamline workflows and reduce administrative tasks.
- Enhanced Decision-Making: Provides differential diagnoses and care recommendations to improve treatment accuracy.
- Voice-Powered Efficiency: Captures notes via voice during consultations or ward rounds, speeding up documentation.
- Seamless Integration: Works with EMR systems to streamline workflows and reduce administrative tasks.
Transportation
Transforming Traffic Management with AI
- Reduced Traffic Congestion: AI optimizes green light timing, ensuring smoother traffic flow and shorter travel times.
- Enhanced Safety: Real-time monitoring and automated violation detection improve road safety for all users.
- Eco-Friendly Solutions: Efficient traffic management reduces fuel consumption and carbon emissions.
- Faster Incident Response: AI-powered systems enable quicker reactions to accidents or disruptions, improving emergency response.
- Data-Driven Improvements: AI analyzes traffic patterns to support better urban planning and long-term solutions.
AI-Enhanced Traffic Monitoring and Toll Management
- Automated Traffic Monitoring: AI-powered computer vision tracks and classifies vehicles, providing real-time traffic and congestion data across highways.
- Improved Toll Efficiency: AI-based Automatic License Plate Recognition (ALPR) and vehicle classification replace manual processes, speeding up toll lane operations.
- Enhanced Traffic Management: Automates data collection and analysis, enabling better traffic flow and reducing congestion.
- Cost Reduction: Minimizes the need for manual labor in toll systems, reducing operational costs.
AI-Driven Autonomous Driving Solutions
- Improved Urban Mobility: AI enhances the efficiency and reliability of public transportation, reducing travel times and congestion.
- Enhanced Safety: Autonomous driving solutions powered by AI reduce human error, making transportation safer for passengers.
- Sustainability: AI-driven electric buses cut carbon emissions, contributing to a cleaner environment.
- Cost Efficiency: Optimizes fleet operations and reduces operational costs for public transit systems.
AI Integration in Vehicle Data and Video Intelligence
- Enhanced Safety and Security: AI improves road safety and threat detection through real-time insights and proactive monitoring.
- Efficient Investigations: Accelerates analysis of incidents and video evidence for quicker resolutions.
- Actionable Insights: Extracts valuable data to inform better decisions and optimize operations.
- Data Integrity: Ensures secure and tamper-proof handling of vehicle and video data.
Public Services
AI in Productivity and Decision Making
- Empowered Industrial Knowledge: AI makes decisions based on real-world experiences
- Boosted Efficiency: Improves productivity and reduces time spent on research and analysis
- Insights Discovery: Identifies new patterns, trends, and potential solutions
- Reduce errors: Minimises human errors and improves accuracy and quality
Agriculture
AI in Early Detection of Insects
- Timely detection: Allows farmers to detect brown planthopper infestations early on.
- Informed decision-making: Provides farmers with the information they need to make informed decisions about pest control measures.
- Reduced crop losses: Helps to prevent significant damage to rice crops caused by brown planthopper infestations.
- Minimised pesticide use: Reduces the need for excessive pesticide applications which is beneficial for the environment and human health.
